Preview: AMD Ryzen2 3950X Review & Benchmarks – CPU 16-core/32-thread Performance

What is “Ryzen2” ZEN2?

AMD’s Zen2 (“Matisse”) is the “true” 2nd generation ZEN core on 7nm process shrink while the previous ZEN+ (“Pinnacle Ridge”) core was just an optimisation of the original ZEN (“Summit Ridge”) core that while socket compatible it introduces many design improvements over both previous cores. An APU version (with integrated “Navi” graphics) is scheduled to be launched later.

While new chipsets (500 series) will also be introduced and required to support some new features (PCIe 4.0), with an BIOS/firmware update even 300/400-series boards should support them thus allowing upgrades to existing systems adding more cores and thus performance.

The list of changes vs. previous ZEN/ZEN+ is extensive thus performance delta is likely to be very different also:

  • Built around “chiplets” of up to 2 CCX (“core complexes”) each of 4C/16T and L3 cache (7nm)
  • Central I/O hub with memory controller(s) and PCIe 4.0 bridges connected through IF (“Infinity Fabric”) (12nm)
  • Up to 2 chiplets on desktop platform thus up to 16C/32T (3950X) (same amount as old ThreadRipper 1950X/2950X)
  • 2x larger L3 cache per CCX thus up to 64MB L3 cache (3950X)
  • 24 PCIe 4.0 lanes (2x higher transfer rate over PCIe 3.0)
  • 2x DDR4 memory controllers up to 4266Mt/s

AMD Ryzen2 3950X chipletsMicro-architecturally there are more changes that should improve performance:

  • 256-bit (single-op) SIMD units 2x Fmacs (fixing a major deficiency in ZEN/ZEN+ cores)
  • TLB (2nd level) increased (should help out-of-page access latencies that are somewhat high on ZEN/ZEN+)
  • Memory latencies claim to be reduced through higher-speed memory (note all requests go through IF to Central I/O hub with memory controllers)
  • Load/Store 32bytes/cycle (2x ZEN/ZEN+) to keep up with the 256-bit SIMD units (L1D bandwidth should be 2x)
  • L3 cache is 2x ZEN/ZEN+ but higher latency (cache is exclusive)
  • Infinity Fabric is 512-bit (2x ZEN/ZEN+) and can run 1x or 1/2x vs. DRAM clock (when higher than 3733Mt/s)
  • AMD processors have thankfully not been affected by most of the vulnerabilities bar two (BTI/”Spectre”, SSB/”Spectre v4″) that have now been addressed in hardware.
  • HWM-P (hardware performance state management) transitions latencies reduced (ACPI/CPPCv2)

In this article we test CPU core performance; please see our other articles on:

Hardware Specifications

We are comparing the top-of-the-range Ryzen2 (3950X, 3800X) with previous generation (2700X) and competing architectures with a view to upgrading to a mid-range high performance design.

CPU Specifications AMD Ryzen 9 3950X Matisse
AMD Ryzen 7 3800X Matisse AMD Ryzen 7 2700X Pinnacle Ridge Intel i9 9900K CoffeeLake-R Intel i9 7900K Skylake-X Comments
Cores (CU) / Threads (SP) 16C / 32T 8C / 16T 8C / 16T 8C / 16T 10C / 20T Matching core-count with CFL (3800X) but 3950X doubles cores/threads – effectively ThreadRipper at lower cost.
Speed (Min / Max / Turbo) 3.5 / 4.7GHz 3.9 / 4.5GHz 3.7 / 4.2GHz 3.6 / 5GHz 3.3 / 4.3GHz Base clock and turbo are competitive with 3800X having higher base while 3950X higher turbo.
Power (TDP / Turbo) 105 / 145W 105 / 125W 105 / 135W 95 / 135W 140 / 308W TDP remains the same but 3950X may smash through it as it has 2x more cores, turbo power is naturally higher.
L1D / L1I Caches 16x 32kB 8-way / 8x 32kB 8-way 8x 32kB 8-way / 8x 32kB 8-way 8x 32kB 8-way / 8x 64kB 4-way 8x 32kB 8-way / 8x 32kB 8-way 10x 32kB 8-way / 10x 32kB 8-way ZEN2 matches L1I with CFL/SKL-X (1/2x ZEN+ but 8-way), L1D is unchanged (also matches Intel)
L2 Caches 16x 512kB (8MB) 8-way 8x 512kB (4MB) 8-way 8x 512kB (4MB) 8-way 8x 256kB (2MB) 16-way 10x 1MB (10MB) 16-way No changes to L2, still 2x CFL. Only SKL-X has its massive 1MB L2 per core which 3950X almost matches!
L3 Caches 4x 16MB (64MB) 16-way 2x 16MB (32MB) 16-way 2x 8MB (16MB) 16-way 16MB 16-way 13.75MB 11-way L3 is 2x ZEN/ZEN+ and thus 2x CFL (3800X) with 3950X having a massive 64MB unheard of on the desktop platform! SKL-X can’t match it either.
SIMD Units 256-bit AVX/FMA3/AVX2 256-bit AVX/FMA3/AVX2 128bit AVX/FMA3/AVX2 256-bit AVX/FMA3/AVX2 512-bit AVX512 ZEN2 finally matches Intel/CFL but SKL-X’s secret weapon is AVX512 with even consumer CPUs able to do 2x 512-bit FMA ops.

Native Performance

We are testing native arithmetic, SIMD and cryptography performance using the highest performing instruction sets (AVX2, FMA3, AVX, etc.). Ryzen2 supports all modern instruction sets including AVX2, FMA3 and even more like SHA HWA but not AVX-512.

Results Interpretation: Higher values (GOPS, MB/s, etc.) mean better performance.

Environment: Windows 10 x64, latest AMD and Intel drivers. 2MB “large pages” were enabled and in use. Turbo / Boost was enabled on all configurations.

Check back on July 7 for the benchmark results ;(

SiSoftware Official Ranker Scores

Final Thoughts / Conclusions

Check back on July 7 for the conclusion ;(

AMD Ryzen 2 Mobile 2500U Review & Benchmarks – Cache & Memory Performance

What is “Ryzen2” ZEN+ Mobile?

It is the long-awaited Ryzen2 APU mobile “Bristol Ridge” version of the desktop Ryzen 2 with integrated Vega graphics (the latest GPU architecture from AMD) for mobile devices. While on desktop we had the original Ryzen1/ThreadRipper – there was no (at least released) APU version or a mobile version – leaving only the much older designs that were never competitive against Intel’s ULV and H APUs.

After the very successful launch of the original “Ryzen1”, AMD has been hard at work optimising and improving the design in order to hit TDP (15-35W) range for mobile devices. It has also added the brand-new Vega graphics cores to the APU that have been incredibly performant in the desktop space. Note that mobile versions have a single CCX (compute unit) thus do not require operating system kernel patches for best thread scheduling/power optimisation.

Here’s what AMD says it has done for Ryzen2:

  • Process technology optimisations (12nm vs 14nm) – lower power but higher frequencies
  • Improvements for cache & memory speed & latencies (we shall test that ourselves!)
  • Multi-core optimised boost (aka Turbo) algorithm – XFR2 – higher speeds

Why review it now?

With Ryzen3 soon to be released later this year (2019) – with a corresponding Ryzen3 APU mobile – it is good to re-test the platform especially in light of the many BIOS/firmware updates, many video/GPU driver updates and not forgetting the many operating system (Windows) vulnerabilities (“Spectre”) mitigations that have greatly affected performance – sometimes for the good (firmware, drivers, optimisations) sometimes for the bad (mitigations).

In this article we test CPU Cache and Memory performance; please see our other articles on:

Hardware Specifications

We are comparing the top-of-the-range Ryzen2 (2700X, 2600) with previous generation (1700X) and competing architectures with a view to upgrading to a mid-range high performance design.

 

CPU Specifications AMD Ryzen2 2500U Bristol Ridge Intel i7 6500U (Skylake ULV) Intel i7 7500U (Kabylake ULV) Intel i5 8250U (Coffeelake ULV) Comments
L1D / L1I Caches 4x 32kB 8-way / 4x 64kB 4-way 2x 32kB 8-way / 2x 32kB 8-way 2x 32kB 8-way / 2x 32kB 8-way 4x 32kB 8-way / 4x 32kB 8-way Ryzen2 icache is 2x of Intel with matching dcache.
L2 Caches 4x 512kB 8-way 2x 256kB 16-way 2x 256kB 16-way 4x 256kB 16-way Ryzen2 L2 cache is 2x bigger than Intel and thus 4x larger than older SKL/KBL-U.
L3 Caches 4MB 16-way 4MB 16-way 4MB 16-way 6MB 16-way Here CFL-U brings 50% bigger L3 cache (6 vs 4MB) which may help some workloads.
TLB 4kB pages
64 full-way / 1536 8-way 64 8-way / 1536 6-way 64 8-way / 1536 6-way 64 8-way / 1536 6-way No TLB changes.
TLB 2MB pages
64 full-way / 1536 2-way 8 full-way  / 1536 6-way 8 full-way  / 1536 6-way 8 full-way  / 1536 6-way No TLB changes, same as 4kB pages.
Memory Controller Speed (MHz) 600 2600 (400-3100) 2700 (400-3500) 1600 (400-3400) Ryzen2’s memory controller runs at memory clock (MCLK) base rate thus depends on memory installed. Intel’s UNC (uncore) runs between min and max CPU clock thus perhaps faster.
Memory Speed (MHz) Max
1200-2400 (2667) 1033-1866 (2133) 1067-2133 (2400) 1200-2400 (2533) Ryzen2 now supports up to 2667MHz (officially) which should improve its performance quite a bit – unfortunately fast DDR4 is very expensive right now.
Memory Channels / Width
2 / 128-bit 2 / 128-bit 2 / 128-bit 2 / 128-bit All have 128-bit total channel width.
Memory Timing (clocks)
17-17-17-39 8-56-18-9 1T 14-17-17-40 10-57-16-11 2T 15-15-15-36 4-51-17-8 2T 19-19-19-43 5-63-21-9 2T Timings naturally depend on memory which for laptops is somewhat limited and quite expensive.
Memory Controller Firmware
2.1.0 3.6.0 3.6.4 Firmware is the same as on desktop devices.

Core Topology and Testing

As discussed in the previous articles (Ryzen1 and Ryzen2 reviews), cores on Ryzen are grouped in blocks (CCX or compute units) each with its own L3 cache – but connected via a 256-bit bus running at memory controller clock. However – unlike desktop/workstations – so far all Ryzen2 mobile designs have a single (1) CCX thus all the issues that “plagued” the desktop/workstation Ryzen designs do note apply here.

However, AMD could have released higher-core mobile designs to go against Intel’s H-line (beefed to 6-core / 12-threads with CFL-H) that would have likely required 2 CCX blocks. At this time (start 2019) considering that Ryzen3 (mobile) will launch soon that seems unlikely to happen…

Native Performance

We are testing native arithmetic, SIMD and cryptography performance using the highest performing instruction sets (AVX2, AVX, etc.). Ryzen2 mobile supports all modern instruction sets including AVX2, FMA3 and even more.

Results Interpretation: Higher rate values (GOPS, MB/s, etc.) mean better performance. Lower latencies (ns, ms, etc.) mean better performance.

Environment: Windows 10 x64, latest AMD and Intel drivers. 2MB “large pages” were enabled and in use. Turbo / Boost was enabled on all configurations.

Native Benchmarks AMD Ryzen2 2500U Bristol Ridge Intel i7 6500U (Skylake ULV) Intel i7 7500U (Kabylake ULV) Intel i5 8250U (Coffeelake ULV) Comments
CPU Multi-Core Benchmark Total Inter-Core Bandwidth – Best (GB/s) 18.65 [-21%] 16.81 18.93 23.65 Ryzen2 L1D is not as wide as Intel’s designs (512-bit) thus inter-core transfers in L1D are 20% slower.
CPU Multi-Core Benchmark Total Inter-Core Bandwidth – Worst (GB/s) 9.29 [=] 6.62 7.4 9.3 Using the unified L3 caches – both Ryzen2 and CFL-U manage the same bandwidths.
CPU Multi-Core Benchmark Inter-Unit Latency – Same Core (ns) 16 [-24%] 21 18 19 Within the same core (share L1D) Ryzen2 has lower latencies by 24% than all Intel CPUs.
CPU Multi-Core Benchmark Inter-Unit Latency – Same Compute Unit (ns) 46 [-23%] 61 54 56 Within the same compute unit (shareL3) Ryzen2 again yields 23% lower latencies.
CPU Multi-Core Benchmark Inter-Unit Latency – Different Compute Unit (ns) n/a n/a n/a n/a With a single CCX we have no latency issues.
While the L1D cache on Ryzen2 is not as wide as on Intel SKL/KBL/CFL-U to yield the same bandwidth (20% lower), both it and L3 manage lower latencies by a relatively large ~25%. With a single CCX design we have none of the issues seen on the desktop/workstation CPUs.
Aggregated L1D Bandwidth (GB/s) 267 [-67%] 315 302 628 Ryzen2’s L1D is just not wide enough – even 2-core SKL/KBL-U have more bandwidth and CFL-U has almost 3x more.
Aggregated L2 Bandwidth (GB/s) 225 [-29%] 119 148 318 The 2x larger L2 caches (512 vs 256kB) perform better but still CFL-U manages 30% more bandwidth.
Aggregated L3 Bandwidth (GB/s) 130 [-31%] 90 95 188 CFL-U not only has 50% bigger L3 (6 vs 4MB) but also somehow manages 30% more bandwidth too while SKL/KBL-U are left in the dust.
Aggregated Memory (GB/s) 24 [=]
21 21 24 With the same memory clock, Ryzen2 ties with CFL-U which means good bandwidth for the cores.
While we saw big improvements on Ryzen2 (desktop) for all caches L1D/L2/L3 – more work needs to be done: in particular the L1D caches are not wide enough compared to Intel’s CPUs – and even L2/L3 need to be wider. Most likely Ryzen3 with native wide 256-bit SIMD (unlike 128-bit as Ryzen1/2) will have twice as wide L1D/L2 that should be sufficient to match Intel.

The memory controller performs well matching CFL-U and is officially rated for higher DDR4 memory – though on laptops the choices are more limited and more expensive.

Data In-Page Random Latency (ns) 91.8 [4-13-32] [+2.75x] 34.6 [3-10-17] 27.6 [4-12-22] 24.5 As on desktop Ryzen1/2 in-page random latencies are large compared to the competition while L1D/L2 are OK but L3 also somewhat large.
Data Full Random Latency (ns) 117 [4-13-32] [-16%] 108 [3-10-27] 84.7 [4-12-33] 139 Out-of-page latencies are not much different which means Ryzen2 is a lot more competitive but still somewhat high.
Data Sequential Latency (ns) 4.1 [4-6-7] [-31%]
5.6 [3-10-11] 6.5 [4-12-13] 5.9 Ryzen’s prefetchers are working well with sequential access with lower latencies than Intel
Ryzen1/2 desktop issues were high memory latencies (in-page/full random) and nothing much changes here. “In-Page/Random pattern” (TLB hit) latencies are almost 3x higher – actually not much lower compared to “Full/Random pattern” (TBL miss) – which are comparable to Intel’s SKL/KBL/CFL. On the other hand “Sequential pattern” yields lower latencies (30% less) than Intel thus simple access patterns work better than complex/random access patterns.
Looking at the data access latencies’ graph for Ryzen2 mobile – we see the “in-page/random” following the “full/random” latencies all the way to 8MB block where they plateau; we would have expected them to plateau at a lower value. See the “code access latencies” graph below.
Code In-Page Random Latency (ns) 17.6 [5-9-25] [+14%] 13.3 [2-9-18] 14.9 [2-11-21] 15.5 Code latencies were not a problem on Ryzen1/2 and they are OK here, 14% higher.
Code Full Random Latency (ns) 108 [5-15-48] [+19%] 91.8 [2-10-38] 90.4 [2-11-45] 91 Out-of-page latency is also competitive and just 20% higher.
Code Sequential Latency (ns) 8.2 [5-13-20] [+37%] 5.9 [2-4-8] 7.8 [2-4-9] 6 Ryzen’s prefetchers are working well with sequential access pattern latency but not as fast as Intel.
Unlike data, code latencies (any pattern) are competitive with Intel though CFL-U does have lower latencies (between 15-20%) but in exchange you get a 2x bigger L1I (64 vs 32kB) which should help complex software.
This graph for code access latencies is what we expected to see for data: “in-page/random” latencies plateau much earlier than “full/random” thus “TLB hit” latencies being much lower than “TLB miss” latencies.
Memory Update Transactional (MTPS) 7.17 [-7%] 6.5 7.72 7.2 As none of Intel’s CPUs have HLE enabled Ryzen2 performs really well with just 7% less transactions/second.
Memory Update Record Only (MTPS) 5.66 [+5%] 4.66 5.25 5.4 With only record updates it manages to be 5% faster.

SiSoftware Official Ranker Scores

Final Thoughts / Conclusions

We saw good improvement on Ryzen2 (desktop/workstation) but still not enough to beat Intel and a lot more work is needed both on L1/L2 cache bandwidth/widening and memory latency (“in-page” aka “TBL hit” random access pattern) that cannot be improved with firmware/BIOS updates (AGESA firmware). Ryzen2 mobile does have the potential to use faster DDR4 memory (officially rated 2667MHz) thus could overtake Intel using faster memory – but laptop DDR4 SODIMM choice is limited.

Regardless of these differences – the CPU results we’ve seen are solid thus sufficient to recommend Ryzen2 mobile especially when at a much lower cost than competing designs. Even if you do choose Intel – you will be picking up a better design due to Ryzen2 mobile competition – just compare the SKL/KBL-U and CFL/WHL-U results.

We are looking forward to see what improvements Ryzen3 mobile brings to the mobile platform.

In a word: Recommended – with reservations

In this article we tested CPU Cache and Memory performance; please see our other articles on:

AMD Ryzen 2 Mobile 2500U Review & Benchmarks – CPU Performance

What is “Ryzen2” ZEN+ Mobile?

It is the long-awaited Ryzen2 APU mobile “Bristol Ridge” version of the desktop Ryzen 2 with integrated Vega graphics (the latest GPU architecture from AMD) for mobile devices. While on desktop we had the original Ryzen1/ThreadRipper – there was no (at least released) APU version or a mobile version – leaving only the much older designs that were never competitive against Intel’s ULV and H APUs.

After the very successful launch of the original “Ryzen1”, AMD has been hard at work optimising and improving the design in order to hit TDP (15-35W) range for mobile devices. It has also added the brand-new Vega graphics cores to the APU that have been incredibly performant in the desktop space. Note that mobile versions have a single CCX (compute unit) thus do not require operating system kernel patches for best thread scheduling/power optimisation.

Here’s what AMD says it has done for Ryzen2:

  • Process technology optimisations (12nm vs 14nm) – lower power but higher frequencies
  • Improvements for cache & memory speed & latencies (we shall test that ourselves!)
  • Multi-core optimised boost (aka Turbo) algorithm – XFR2 – higher speeds

Why review it now?

With Ryzen3 soon to be released later this year (2019) – with a corresponding Ryzen3 APU mobile – it is good to re-test the platform especially in light of the many BIOS/firmware updates, many video/GPU driver updates and not forgetting the many operating system (Windows) vulnerabilities (“Spectre”) mitigations that have greatly affected performance – sometimes for the good (firmware, drivers, optimisations) sometimes for the bad (mitigations).

In this article we test CPU core performance; please see our other articles on:

Hardware Specifications

We are comparing the top-of-the-range Ryzen2 mobile (2500U) with competing architectures (Intel gen 6, 7, 8) with a view to upgrading to a mid-range but high performance design.

 

CPU Specifications AMD Ryzen2 2500U Bristol Ridge
Intel i7 6500U (Skylake ULV)
Intel i7 7500U (Kabylake ULV)
Intel i5 8250U (Coffeelake ULV)
Comments
Cores (CU) / Threads (SP) 4C / 8T 2C / 4T 2C / 4T 4C / 8T Ryzen has double the cores of ULV Skylake/Kabylake and only recently Intel has caught up by also doubling cores.
Speed (Min / Max / Turbo) 1.6-2.0-3.6GHz (16x-20x-36x) 0.4-2.6-3.1GHz (4x-26x-31x) 0.4-2.7-3.5GHz (4x-27x-35x) 0.4-1.6-3.4GHz (4x-16x-34x) Ryzen2 has higher base and turbo than CFL-U and higher turbo than all Intel competition.
Power (TDP) 25-35W 15-25W 15-25W 25-35W Both Ryzen2 and CFL-U have higher TDP at 25W and turbo up to 35W depending on configuration while older devices were mostly 15W with turbo 20-25W.
L1D / L1I Caches 4x 32kB 8-way / 4x 64kB 4-way 2x 32kB 8-way / 2x 32kB 8-way 2x 32kB 8-way / 2x 32kB 8-way 4x 32kB 8-way / 4x 32kB 8-way Ryzen2 icache is 2x of Intel with matching dcache.
L2 Caches 4x 512kB 8-way 2x 256kB 16-way 2x 256kB 16-way 4x 256kB 16-way Ryzen2 L2 cache is 2x bigger than Intel and thus 4x larger than older SKL/KBL-U.
L3 Caches 4MB 16-way 4MB 16-way 4MB 16-way 6MB 16-way Here CFL-U brings 50% bigger L3 cache (6 vs 4MB) which may help some workloads.
Microcode (Firmware) MU8F1100-0B MU064E03-C6 MU068E09-8E MU068E09-96 On Intel you can see just how many updates the platforms have had – we’re now at CX versions but even Ryzen2 has had a few.

Native Performance

We are testing native arithmetic, SIMD and cryptography performance using the highest performing instruction sets (AVX2, AVX, etc.). Ryzen supports all modern instruction sets including AVX2, FMA3 and even more like SHA HWA (supported by Intel’s Atom only) but has dropped all AMD’s variations like FMA4 and XOP likely due to low usage.

Results Interpretation: Higher values (GOPS, MB/s, etc.) mean better performance.

Environment: Windows 10 x64, latest AMD and Intel drivers. 2MB “large pages” were enabled and in use. Turbo / Boost was enabled on all configurations.

Native Benchmarks AMD Ryzen2 2500U Bristol Ridge Intel i7 6500U (Skylake ULV) Intel i7 7500U (Kabylake ULV) Intel i5 8250U (Coffeelake ULV) Comments
CPU Arithmetic Benchmark Native Dhrystone Integer (GIPS) 103 [-6%] 52 73 109 Right off Ryzen2 does not beat CFL-U but is very close, soundly beating the older Intel designs.
CPU Arithmetic Benchmark Native Dhrystone Long (GIPS) 102 [-4%] 51 74 106 With a 64-bit integer workload – the difference drops to 4%.
CPU Arithmetic Benchmark Native FP32 (Float) Whetstone (GFLOPS) 79 [+18%] 39 45 67 Somewhat surprisingly, Ryzen2 is almost 20% faster than CFL-U here.
CPU Arithmetic Benchmark Native FP64 (Double) Whetstone (GFLOPS) 67 [+22%] 33 37 55 With FP64 nothing much changes, with Ryzen2 over 20% faster.
You can see why Intel needed to double the cores for ULV: otherwise even top-of-the-line i7 SKL/KBL-U are pounded into dust by Ryzen2. CFL-U does trade blows with it and manages to pull ahead in Dhrystone but Ryzen2 is 20% faster in floating-point. Whatever you choose you can thank AMD for forcing Intel’s hand.
BenchCpuMM Native Integer (Int32) Multi-Media (Mpix/s) 239 [-32%] 183 193 350 In this vectorised AVX2 integer test Ryzen2 starts 30% slower than CFL-U but does beat the older designs.
BenchCpuMM Native Long (Int64) Multi-Media (Mpix/s) 53.4 [-58%] 68.2 75 127 With a 64-bit AVX2 integer vectorised workload, Ryzen2 is even slower.
BenchCpuMM Native Quad-Int (Int128) Multi-Media (Mpix/s) 2.41 [+12%] 1.15 1.12 2.15 This is a tough test using Long integers to emulate Int128 without SIMD; here Ryzen2 has its 1st win by 12% over CFL-U.
BenchCpuMM Native Float/FP32 Multi-Media (Mpix/s) 222 [-20%] 149 159 277 In this floating-point AVX/FMA vectorised test, Ryzen2 is still slower but only by 20%.
BenchCpuMM Native Double/FP64 Multi-Media (Mpix/s) 126 [-22%] 88.3 94.8 163 Switching to FP64 SIMD code, nothing much changes still 20% slower.
BenchCpuMM Native Quad-Float/FP128 Multi-Media (Mpix/s) 6.23 [-16%] 3.79 4.04 7.4 In this heavy algorithm using FP64 to mantissa extend FP128 with AVX2 – Ryzen2 is less than 20% slower.
Just as on desktop, we did not expect AMD’s Ryzen2 mobile to beat 4-core CFL-U (with Intel’s wide SIMD units) and it doesn’t: but it remains very competitive and is just 20% slower. In any case, it soundly beats all older but ex-top-of-the-line i7 SKL/KBL-U thus making them all obsolete at a stroke.
BenchCrypt Crypto AES-256 (GB/s) 10.9 [+1%] 6.29 7.28 10.8 With AES/HWA support all CPUs are memory bandwidth bound – here Ryzen2 ties with CFL-U and soundly beats older versions.
BenchCrypt Crypto AES-128 (GB/s) 10.9 [+1%] 8.84 9.07 10.8 What we saw with AES-256 just repeats with AES-128; Ryzen2 is marginally faster but the improvement is there.
BenchCrypt Crypto SHA2-256 (GB/s) 6.78 [+60%] 2 2.55 4.24 With SHA/HWA Ryzen2 similarly powers through hashing tests leaving Intel in the dust; SHA is still memory bound but Ryzen2 is 60% faster than CFL-U.
BenchCrypt Crypto SHA1 (GB/s) 7.13 [+2%] 3.88 4.07 7.02 Ryzen also accelerates the soon-to-be-defunct SHA1 but CFL-U with AVX2 has caught up.
BenchCrypt Crypto SHA2-512 (GB/s) 1.48 [-44%] 1.47 1.54 2.66 SHA2-512 is not accelerated by SHA/HWA thus Ryzen2 falls behind here.
Ryzen2 mobile (like its desktop brother) gets a boost from SHA/HWA but otherwise ties with CFL-U which is helped by its SIMD units. As before older 2-core i7 SKL/KBL-U are left with no hope and cannot even saturate the memory bandwidth.
BenchFinance Black-Scholes float/FP32 (MOPT/s) 93.3 [-4%] 44.7 49.3 97 In this non-vectorised test we see Ryzen2 matches CFL-U.
BenchFinance Black-Scholes double/FP64 (MOPT/s) 77.8 [-8%] 39 43.3 84.7 Switching to FP64 code, nothing much changes, Ryzen2 is 8% slower.
BenchFinance Binomial float/FP32 (kOPT/s) 35.5 [+61%] 10.4 12.3 22 Binomial uses thread shared data thus stresses the cache & memory system; here the arch(itecture) improvements do show, Ryzen2 is 60% faster than CFL-U.
BenchFinance Binomial double/FP64 (kOPT/s) 19.5 [-7%] 10.1 11.4 21 With FP64 code Ryzen2 drops back from its previous win.
BenchFinance Monte-Carlo float/FP32 (kOPT/s) 20.1 [+1%] 9.24 9.87 19.8 Monte-Carlo also uses thread shared data but read-only thus reducing modify pressure on the caches; Ryzen2 cannot match its previous gain.
BenchFinance Monte-Carlo double/FP64 (kOPT/s) 15.3 [-3%] 7.38 7.88 15.8 Switching to FP64 nothing much changes, Ryzen2 matches CFL-U.
Unlike desktop where Ryzen2 is unstoppable, here we are a more mixed result – with CFL-U able to trade blows with it except one test where Ryzen2 is 60% faster. Otherwise CFL-U does manage to be just a bit faster in the other tests but nothing significant.
BenchScience SGEMM (GFLOPS) float/FP32 107 [+16%] 92 76 85 In this tough vectorised AVX2/FMA algorithm Ryzen2 manages to be almost 20% faster than CFL-U.
BenchScience DGEMM (GFLOPS) double/FP64 47.2 [-6%] 44.2 31.7 50.5 With FP64 vectorised code, Ryzen2 drops down to 6% slower.
BenchScience SFFT (GFLOPS) float/FP32 3.75 [-53%] 7.17 7.21 8 FFT is also heavily vectorised (x4 AVX2/FMA) but stresses the memory sub-system more; Ryzen2 does not like it much.
BenchScience DFFT (GFLOPS) double/FP64 4 [-7%] 3.23 3.95 4.3 With FP64 code, Ryzen2 does better and is just 7% slower.
BenchScience SNBODY (GFLOPS) float/FP32 112 [-27%] 96.6 104.9 154 N-Body simulation is vectorised but many memory accesses and not a Ryzen2 favourite.
BenchScience DNBODY (GFLOPS) double/FP64 45.3 [-30%] 29.6 30.64 64.8 With FP64 code nothing much changes.
With highly vectorised SIMD code Ryzen2 remains competitive but finds some algorithms tougher than others. Just as with desktop Ryzen1/2 it may require SIMD code changes for best performance due to its 128-bit units; Ryzen3 with 256-bit units should fix that.
CPU Image Processing Blur (3×3) Filter (MPix/s) 532 [-39%] 418 474 872 In this vectorised integer AVX2 workload Ryzen2 is quite a bit slower than CFL-U.
CPU Image Processing Sharpen (5×5) Filter (MPix/s) 146 [-58%] 168 191 350 Same algorithm but more shared data makes Ryzen2 even slower, 1/2 CFL-U.
CPU Image Processing Motion-Blur (7×7) Filter (MPix/s) 123 [-32%] 87.6 98 181 Again same algorithm but even more data shared reduces the delta to 1/3.
CPU Image Processing Edge Detection (2*5×5) Sobel Filter (MPix/s) 185 [-37%] 136 164 295 Different algorithm but still AVX2 vectorised workload still Ryzen2 is ~35% slower.
CPU Image Processing Noise Removal (5×5) Median Filter (MPix/s) 26.5 [-1%] 13.3 14.4 26.7 Still AVX2 vectorised code but here Ryzen2 ties with CFL-U.
CPU Image Processing Oil Painting Quantise Filter (MPix/s) 9.38 [-38%] 7.21 7.63 15.09 Again we see Ryzen2 fall behind CFL-U.
CPU Image Processing Diffusion Randomise (XorShift) Filter (MPix/s) 660 [-53%] 730 764 1394 With integer AVX2 workload, Ryzen2 falls behind even SKL/KBL-U.
CPU Image Processing Marbling Perlin Noise 2D Filter (MPix/s) 94.1 [-55%] 99.6 105 209 In this final test again with integer AVX2 workload Ryzen2 is 1/2 speed of CFL-U.

With all the modern instruction sets supported (AVX2, FMA, AES and SHA/HWA) Ryzen2 does extremely well in all workloads – and makes all older i7 SKL/KBL-U designs obsolete and unable to compete. As we said – Intel pretty much had to double the number of cores in CFL-U to stay competitive – and it does – but it is all thanks to AMD.

Even then Ryzen2 does beat CFL-U in non-SIMD tests with the latter being helped tremendously by its wide (256-bit) SIMD units and greatly benefits from AVX2/FMA workloads. But Ryzen3 with double-width SIMD units should be much faster and thus greatly beating Intel designs.

Software VM (.Net/Java) Performance

We are testing arithmetic and vectorised performance of software virtual machines (SVM), i.e. Java and .Net. With operating systems – like Windows 10 – favouring SVM applications over “legacy” native, the performance of .Net CLR (and Java JVM) has become far more important.

Results Interpretation: Higher values (GOPS, MB/s, etc.) mean better performance.

Environment: Windows 10 x64, latest drivers. .Net 4.7.x (RyuJit), Java 1.9.x. Turbo / Boost was enabled on all configurations.

VM Benchmarks AMD Ryzen2 2500U Bristol Ridge Intel i7 6500U (Skylake ULV) Intel i7 7500U (Kabylake ULV) Intel i5 8250U (Coffeelake ULV) Comments
BenchDotNetAA .Net Dhrystone Integer (GIPS) 22.7 [+39%] 9.58 12.1 16.36 .Net CLR integer starerts great – Ryzen2 is 40% faster than CFL-U.
BenchDotNetAA .Net Dhrystone Long (GIPS) 22 [+34%] 9.24 12.1 16.4 64-bit integer workloads also favour Ryzen2, still 35% faster.
BenchDotNetAA .Net Whetstone float/FP32 (GFLOPS) 40.5 [+9%] 18.7 22.5 37.1 Floating-Point CLR performance is also good but just about 10% faster than CFL-U.
BenchDotNetAA .Net Whetstone double/FP64 (GFLOPS) 49.6 [+6%] 23.7 28.8 46.8 FP64 performance is also great (CLR seems to promote FP32 to FP64 anyway) with Ryzen2 faster by 6%.
.Net CLR performance was always incredible on Ryzen1 and 2 (desktop/workstation) and here is no exception – all Intel designs are left in the dust with even CFL-U soundly beated by anything between 10-40%.
BenchDotNetMM .Net Integer Vectorised/Multi-Media (MPix/s) 43.23 [+20%] 21.32 25 35 Just as we saw with Dhrystone, this integer workload sees a big 20% improvement for Ryzen2.
BenchDotNetMM .Net Long Vectorised/Multi-Media (MPix/s) 44.71 [+21%] 21.27 26 37 With 64-bit integer workload we see a similar story – 21% better.
BenchDotNetMM .Net Float/FP32 Vectorised/Multi-Media (MPix/s) 137 [+46%] 78.17 94 56 Here we make use of RyuJit’s support for SIMD vectors thus running AVX2/FMA code – Ryzen2 does even better here 50% faster than CFL-U.
BenchDotNetMM .Net Double/FP64 Vectorised/Multi-Media (MPix/s) 75.2 [+45%] 43.59 52 35 Switching to FP64 SIMD vector code – still running AVX2/FMA – we see a similar gain
As before Ryzen2 dominates .Net CLR performance – even when using RyuJit’s SIMD instructions we see big gains of 20-45% over CFL-U.
Java Arithmetic Java Dhrystone Integer (GIPS) 222 [+13%] 119 150 196 We start JVM integer performance with a 13% lead over CFL-U.
Java Arithmetic Java Dhrystone Long (GIPS) 208 [+12%] 101 131 185 Nothing much changes with 64-bit integer workload – Ryzen2 still faster.
Java Arithmetic Java Whetstone float/FP32 (GFLOPS) 50.9 [+9%] 23.13 27.8 46.6 With a floating-point workload Ryzen2 performance improvement drops a bit.
Java Arithmetic Java Whetstone double/FP64 (GFLOPS) 54 [+13%] 23.74 28.7 47.7 With FP64 workload Ryzen2 gets back to 13% faster.
Java JVM performance delta is not as high as .Net but still decent just over 10% over CFL-U similar to what we’ve seen on desktop.
Java Multi-Media Java Integer Vectorised/Multi-Media (MPix/s) 48.74 [+15%] 20.5 24 42.5 Oracle’s JVM does not yet support native vector to SIMD translation like .Net’s CLR but Ryzen2 is still 15% faster.
Java Multi-Media Java Long Vectorised/Multi-Media (MPix/s) 46.75 [+4%] 20.3 24.8 44.8 With 64-bit vectorised workload Ryzen2’s lead drops to 4%.
Java Multi-Media Java Float/FP32 Vectorised/Multi-Media (MPix/s) 38.2 [+9%] 14.59 17.6 35 Switching to floating-point we return to a somewhat expected 9% improvement.
Java Multi-Media Java Double/FP64 Vectorised/Multi-Media (MPix/s) 35.7 [+2%] 14.59 17.4 35 With FP64 workload Ryzen2’s lead somewhat unexplicably drops to 2%.
Java’s lack of vectorised primitives to allow the JVM to use SIMD instruction sets allow Ryzen2 to do well and overtake CFL-U between 2-15%.

Ryzen2 on desktop dominated the .Net and Java benchmarks – and Ryzen2 mobile does not disappoint – it is consistently faster than CFL-U which does not bode well for Intel. If you mainly run .Net and Java apps on your laptop then Ryzen2 is the one to get.

SiSoftware Official Ranker Scores

Final Thoughts / Conclusions

Ryzen2 was a worthy update on the desktop and Ryzen2 mobile does not disappoint; it instantly obsoleted all older Intel designs (SKL/KBL-U) with only the very latest 4-core ULV (CFL/WHL-U) being able to match it. You can see from the results how AMD forced Intel’s hand to double cores in order to stay competitive.

Even then Ryzen2 manages to beat CFL-U in non-SIMD workloads and remains competitive in SIMD AVX2/FMA workloads (only 20% or so slower) while soundly beating SKL/KBL-U with their 2-cores and wide SIMD units. With soon-to-be-released Ryzen3 with wide SIMD units (256-bit as CFL/WHL-U) – Intel will need AVX512 to stay competitive – however it has its own issues which may be problematic in mobile/ULV space.

Both Ryzen2 mobile and CFL/WHL-U have increased TDP (~25W) in order to manage the increased number of cores (instead of 15W with older 2-core designs) and turbo short-term power as much as 35W. This means while larger 14/15″ designs with good cooling are able to extract top performance – smaller 12/13″ designs are forced to use lower cTDP of 15W (20-25W turbo) thus with lower multi-threaded performance.

Also consider than Ryzen2 is not affected by most “Spectre” vulnerabilities and not by “Meltdown” either thus does not need KVA (kernel pages virtualisation) that greatly impacts I/O workloads. Only the very latest Whiskey-Lake ULV (WHL-U gen 8-refresh) has hardware “Meltdown” fixes – thus there is little point buying CFL-U (gen 8 original) and even less point buying older SKL/KBL-U.

In light of the above – Ryzen2 mobile is a compelling choice especially as it comes at a (much) lower price-point: its competition is really only the very latest WHL-U i5/i7 which do not come cheap – with most vendors still selling CFL-U and even KBL-U inventory. The only issue is the small choice of laptops available with it – hopefully the vendors (Dell, HP, etc.) will continue to release more versions especially with Ryzen 3 mobile.

In a word: Highly Recommended!

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