AMD Ryzen 9 9950X DDR5 Memory Performance

AMD Ryzen 9 9950X DDR5 memory module benchmarks by Michael Larabel for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2408225-NE-RYZEN999510
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results
Show Result Confidence Charts

Limit displaying results to tests within:

BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
C++ Boost Tests 2 Tests
Timed Code Compilation 5 Tests
C/C++ Compiler Tests 2 Tests
CPU Massive 13 Tests
Creator Workloads 5 Tests
Fortran Tests 4 Tests
Game Development 2 Tests
HPC - High Performance Computing 16 Tests
Common Kernel Benchmarks 2 Tests
Large Language Models 2 Tests
Machine Learning 7 Tests
Memory Test Suite 2 Tests
Molecular Dynamics 5 Tests
MPI Benchmarks 4 Tests
Multi-Core 12 Tests
NVIDIA GPU Compute 4 Tests
OpenMPI Tests 9 Tests
Programmer / Developer System Benchmarks 6 Tests
Python Tests 6 Tests
Renderers 2 Tests
Scientific Computing 5 Tests
Server 2 Tests
Server CPU Tests 8 Tests
Common Workstation Benchmarks 2 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G
August 14
  13 Hours, 26 Minutes
2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32
August 22
  10 Hours, 21 Minutes
2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36
August 20
  10 Hours, 59 Minutes
2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38
August 21
  7 Hours, 49 Minutes
Invert Hiding All Results Option
  10 Hours, 39 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

AMD Ryzen 9 9950X DDR5 Memory Performance AMD Ryzen 9 9950X DDR5 memory module benchmarks by Michael Larabel for a future article. 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G: Processor: AMD Ryzen 9 9950X 16-Core @ 5.75GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (2204 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DDR5-6000MT/s G Skill F5-6000J3038F16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6E OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36: Processor: AMD Ryzen 9 9950X 16-Core @ 5.75GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (2204 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DDR5-8000MT/s Corsair CMH32GX5M2X8000C36, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6E OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38: Processor: AMD Ryzen 9 9950X 16-Core @ 5.75GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (2204 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 24GB DDR5-8000MT/s Corsair CMP48GX5M2X8000C38, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6E OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32: Processor: AMD Ryzen 9 9950X 16-Core @ 5.75GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (2204 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 32GB DDR5-6400MT/s Corsair CMK64GX5M2B6400C32, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6E OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 batches/sec > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 84.89 |========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 86.79 |=========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 81.89 |========================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 85.52 |=========================== PyTorch 2.2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 batches/sec > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 57.54 |========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 58.49 |=========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 56.19 |========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 58.89 |=========================== miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 Billion Interactions/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 76.89 |=========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 76.12 |=========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 75.99 |=========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 77.08 |=========================== miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 Billion Interactions/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 77.39 |=========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 76.20 |=========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 75.93 |========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 77.25 |=========================== Stress-NG 0.17.08 Test: Memory Copying Bogo Ops/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 10752.81 |======================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 10608.96 |======================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 10608.82 |======================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 10720.31 |======================== Quicksilver 20230818 Input: CORAL2 P1 Figure Of Merit > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 25676667 |======================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 25666667 |======================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 25136667 |======================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 25660000 |======================== Embree 4.3 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 36.55 |=========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 36.25 |=========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 35.18 |========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 36.11 |=========================== Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 41.49 |=========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 41.72 |=========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 40.07 |========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 40.94 |========================== x265 Video Input: Bosphorus 4K Frames Per Second > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 38.27 |=========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 38.07 |=========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 37.09 |========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 38.30 |=========================== x265 Video Input: Bosphorus 1080p Frames Per Second > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 134.52 |========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 134.19 |========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 131.28 |========================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 134.48 |========================== simdjson 3.10 Throughput Test: Kostya GB/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 7.71 |============================ 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 7.57 |=========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 7.50 |=========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 7.63 |============================ simdjson 3.10 Throughput Test: TopTweet GB/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 13.59 |=========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 13.24 |========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 12.88 |========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 13.38 |=========================== simdjson 3.10 Throughput Test: LargeRandom GB/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 2.12 |============================ 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 2.10 |============================ 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 2.11 |============================ 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 2.11 |============================ miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 GFInst/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 1922.13 |========================= 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 1903.04 |========================= 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 1899.80 |========================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 1926.89 |========================= miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 GFInst/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 1934.61 |========================= 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 1904.95 |========================= 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 1898.26 |========================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 1931.14 |========================= High Performance Conjugate Gradient 3.1 X Y Z: 104 104 104 - RT: 60 GFLOP/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 8.93560 |======================= 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 9.51601 |========================= 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 9.16590 |======================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 8.79737 |======================= libxsmm 2-1.17-3645 M N K: 128 GFLOPS/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 472.0 |========================= 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 508.9 |=========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 491.1 |========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 505.9 |=========================== libxsmm 2-1.17-3645 M N K: 32 GFLOPS/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 121.0 |========================= 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 132.2 |=========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 127.0 |========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 128.0 |========================== libxsmm 2-1.17-3645 M N K: 64 GFLOPS/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 237.1 |========================= 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 258.6 |=========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 249.7 |========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 253.3 |========================== Xmrig 6.21 Variant: GhostRider - Hash Count: 1M H/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 3616.6 |========================= 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 3699.6 |========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 3676.5 |========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 3638.6 |========================== TensorFlow 2.16.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 images/sec > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 16.92 |========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 17.33 |=========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 16.81 |========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 17.34 |=========================== TensorFlow 2.16.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 images/sec > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 52.27 |========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 55.19 |=========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 53.54 |========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 54.30 |=========================== LuxCoreRender 2.6 Scene: DLSC - Acceleration: CPU M samples/sec > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 5.40 |============================ 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 5.36 |============================ 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 5.34 |============================ 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 5.42 |============================ LuxCoreRender 2.6 Scene: Danish Mood - Acceleration: CPU M samples/sec > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 4.62 |============================ 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 4.65 |============================ 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 4.60 |=========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 4.69 |============================ LuxCoreRender 2.6 Scene: Orange Juice - Acceleration: CPU M samples/sec > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 8.64 |============================ 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 8.55 |============================ 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 8.46 |=========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 8.64 |============================ LuxCoreRender 2.6 Scene: LuxCore Benchmark - Acceleration: CPU M samples/sec > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 5.15 |============================ 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 5.04 |=========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 5.05 |=========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 5.14 |============================ LuxCoreRender 2.6 Scene: Rainbow Colors and Prism - Acceleration: CPU M samples/sec > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 19.99 |=========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 19.84 |=========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 19.33 |========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 20.08 |=========================== RAMspeed SMP 3.5.0 Type: Add - Benchmark: Integer MB/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 61079.93 |======================= 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 65113.52 |======================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 62771.00 |======================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 63967.70 |======================== RAMspeed SMP 3.5.0 Type: Copy - Benchmark: Integer MB/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 65797.05 |====================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 70345.53 |======================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 66545.24 |======================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 70747.00 |======================== RAMspeed SMP 3.5.0 Type: Scale - Benchmark: Integer MB/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 69141.08 |======================= 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 73724.88 |======================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 70445.74 |======================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 71754.58 |======================= RAMspeed SMP 3.5.0 Type: Triad - Benchmark: Integer MB/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 62428.70 |====================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 66963.03 |======================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 64832.86 |======================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 65845.21 |======================== RAMspeed SMP 3.5.0 Type: Average - Benchmark: Integer MB/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 65503.93 |======================= 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 69491.42 |======================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 66822.49 |======================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 68588.84 |======================== MBW 2018-09-08 Test: Memory Copy - Array Size: 4096 MiB MiB/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 22774.95 |======================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 22539.72 |======================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 22093.99 |======================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 22510.46 |======================== MBW 2018-09-08 Test: Memory Copy - Array Size: 8192 MiB MiB/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 22247.78 |======================= 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 22817.90 |======================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 21444.00 |======================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 22294.06 |======================= MBW 2018-09-08 Test: Memory Copy, Fixed Block Size - Array Size: 4096 MiB MiB/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 19534.16 |====================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 20923.99 |======================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 19747.58 |======================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 20817.57 |======================== MBW 2018-09-08 Test: Memory Copy, Fixed Block Size - Array Size: 8192 MiB MiB/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 19467.39 |====================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 20349.41 |======================= 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 20124.94 |======================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 20850.88 |======================== 7-Zip Compression Test: Compression Rating MIPS > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 195585 |========================= 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 200810 |========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 203065 |========================== 7-Zip Compression Test: Decompression Rating MIPS > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 158133 |========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 157005 |========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 157512 |========================== Etcpak 2.0 Benchmark: Multi-Threaded - Configuration: ETC2 Mpx/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 741.78 |========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 734.53 |========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 731.23 |========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 739.74 |========================== LeelaChessZero 0.31.1 Backend: BLAS Nodes Per Second > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 226 |========================= 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 264 |============================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 244 |=========================== LeelaChessZero 0.31.1 Backend: Eigen Nodes Per Second > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 220 |========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 247 |============================= 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 227 |=========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 236 |============================ Stockfish Chess Benchmark Nodes Per Second > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 51377778 |======================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 49974210 |======================= 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 50101396 |======================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 49194155 |======================= GROMACS 2024 Implementation: MPI CPU - Input: water_GMX50_bare Ns Per Day > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 3.141 |========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 3.298 |=========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 3.228 |========================== GROMACS Input: water_GMX50_bare Ns Per Day > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 1.927 |========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 2.009 |=========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 1.996 |=========================== NAMD 3.0b6 Input: ATPase with 327,506 Atoms ns/day > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 3.41007 |======================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 3.57755 |========================= 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 3.50958 |======================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 3.60464 |========================= NAMD 3.0b6 Input: STMV with 1,066,628 Atoms ns/day > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 0.98084 |======================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 1.02426 |========================= 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 0.99852 |======================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 1.01602 |========================= Java JMH Throughput Ops/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 91554717298.43 |================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 89012581592.65 |================= 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 90340365706.79 |================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 92045826799.54 |================== Memcached 1.6.19 Set To Get Ratio: 1:10 Ops/sec > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 5915791.34 |====================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 5874747.73 |====================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 5694123.52 |===================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 5898565.34 |====================== Memcached 1.6.19 Set To Get Ratio: 1:100 Ops/sec > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 7507615.73 |====================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 7498825.19 |====================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 7350932.88 |===================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 7647187.48 |====================== Numpy Benchmark Score > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 1068.36 |========================= 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 1046.91 |======================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 1064.17 |========================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 1070.61 |========================= Llama.cpp b3067 Model: Meta-Llama-3-8B-Instruct-Q8_0.gguf Tokens Per Second > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 8.36 |========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 9.00 |============================ 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 8.66 |=========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 8.32 |========================== Llamafile 0.8.6 Test: Meta-Llama-3-8B-Instruct.F16 - Acceleration: CPU Tokens Per Second > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G . 4.68 |============================== NAS Parallel Benchmarks 3.4 Test / Class: BT.C Total Mop/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 55287.37 |====================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 60124.08 |======================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 58570.03 |======================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 58570.77 |======================= NAS Parallel Benchmarks 3.4 Test / Class: CG.C Total Mop/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 11144.88 |====================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 11908.47 |======================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 11662.44 |======================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 11374.51 |======================= NAS Parallel Benchmarks 3.4 Test / Class: EP.C Total Mop/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 3678.46 |========================= 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 3741.86 |========================= 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 3722.56 |========================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 3731.97 |========================= NAS Parallel Benchmarks 3.4 Test / Class: EP.D Total Mop/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 3823.80 |========================= 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 3739.16 |======================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 3712.45 |======================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 3714.66 |======================== NAS Parallel Benchmarks 3.4 Test / Class: FT.C Total Mop/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 27106.18 |====================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 29713.55 |======================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 28743.49 |======================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 28891.86 |======================= NAS Parallel Benchmarks 3.4 Test / Class: IS.D Total Mop/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 1505.47 |======================= 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 1635.34 |========================= 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 1586.59 |======================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 1584.93 |======================== NAS Parallel Benchmarks 3.4 Test / Class: LU.C Total Mop/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 59920.96 |====================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 64031.31 |======================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 62375.43 |======================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 62084.72 |======================= NAS Parallel Benchmarks 3.4 Test / Class: MG.C Total Mop/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 24236.21 |====================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 26596.46 |======================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 25715.34 |======================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 25622.93 |======================= NAS Parallel Benchmarks 3.4 Test / Class: SP.B Total Mop/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 21328.28 |====================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 23254.40 |======================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 22436.81 |======================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 22908.58 |======================== NAS Parallel Benchmarks 3.4 Test / Class: SP.C Total Mop/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 14528.26 |====================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 16097.00 |======================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 15531.76 |======================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 15610.30 |======================= BRL-CAD 7.38.2 VGR Performance Metric VGR Performance Metric > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 498966 |========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 486954 |========================= 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 489784 |========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 494437 |========================== LULESH 2.0.3 z/s > Higher Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 9945.53 |======================= 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 10578.52 |======================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 9832.64 |====================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 10235.72 |======================= Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 129 Cells Per Direction Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 14.09 |=========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 12.97 |========================= 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 13.26 |========================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 13.40 |========================== Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 193 Cells Per Direction Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 64.11 |=========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 58.20 |========================= 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 60.48 |========================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 60.80 |========================== OpenFOAM 10 Input: motorBike - Mesh Time Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 84.99 |========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 88.08 |=========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 85.47 |========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 84.98 |========================== OpenFOAM 10 Input: motorBike - Execution Time Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 58.57 |=========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 55.57 |========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 57.25 |========================== OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Mesh Time Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 22.58 |========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 23.14 |=========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 22.82 |=========================== OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Execution Time Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 157.15 |========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 145.88 |======================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 148.76 |========================= OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Mesh Time Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 181.57 |========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 174.13 |========================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 177.79 |========================= OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Execution Time Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 2096.57 |========================= 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 1909.67 |======================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 1994.75 |======================== OpenRadioss 2023.09.15 Model: Bumper Beam Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 76.90 |=========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 77.45 |=========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 77.81 |=========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 77.18 |=========================== OpenRadioss 2023.09.15 Model: Chrysler Neon 1M Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 705.55 |========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 573.33 |===================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 668.16 |========================= OpenRadioss 2023.09.15 Model: Cell Phone Drop Test Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 44.90 |=========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 43.25 |========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 43.42 |========================== OpenRadioss 2023.09.15 Model: Bird Strike on Windshield Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 128.76 |========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 128.32 |========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 124.37 |========================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 128.01 |========================== OpenRadioss 2023.09.15 Model: Rubber O-Ring Seal Installation Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 53.16 |========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 53.66 |=========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 54.27 |=========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 53.23 |========================== OpenRadioss 2023.09.15 Model: INIVOL and Fluid Structure Interaction Drop Container Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 247.06 |========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 242.00 |========================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 239.22 |========================= SPECFEM3D 4.1.1 Model: Mount St. Helens Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 25.69 |=========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 25.19 |========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 25.45 |=========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 24.96 |========================== SPECFEM3D 4.1.1 Model: Layered Halfspace Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 73.14 |=========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 69.82 |========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 72.44 |=========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 69.44 |========================== SPECFEM3D 4.1.1 Model: Tomographic Model Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 23.36 |========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 23.29 |========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 23.87 |=========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 23.00 |========================== SPECFEM3D 4.1.1 Model: Homogeneous Halfspace Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 30.68 |========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 30.54 |========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 31.98 |=========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 29.82 |========================= SPECFEM3D 4.1.1 Model: Water-layered Halfspace Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 72.20 |=========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 68.92 |========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 72.08 |=========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 69.56 |========================== Timed Gem5 Compilation 23.0.1 Time To Compile Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 221.14 |========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 219.27 |========================== Timed Linux Kernel Compilation 6.8 Build: defconfig Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 47.76 |=========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 48.26 |=========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 47.78 |=========================== Timed Linux Kernel Compilation 6.8 Build: allmodconfig Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 590.50 |========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 589.33 |========================== Timed LLVM Compilation 16.0 Build System: Ninja Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 301.63 |========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 304.62 |========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 298.05 |========================= Timed Node.js Compilation 21.7.2 Time To Compile Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 345.25 |========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 341.68 |========================== Build2 0.17 Time To Compile Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 76.00 |========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 77.92 |========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 80.10 |=========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 77.01 |========================== Y-Cruncher 0.8.5 Pi Digits To Calculate: 1B Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 16.45 |=========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 15.61 |========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 15.43 |========================= Y-Cruncher 0.8.5 Pi Digits To Calculate: 500M Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 7.587 |=========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 7.236 |========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 7.247 |========================== POV-Ray Trace Time Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 16.10 |=========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 16.40 |=========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 16.32 |=========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 16.13 |=========================== Blender 4.2 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 46.38 |========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 47.72 |=========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 47.51 |=========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 46.56 |========================== Blender 4.2 Blend File: Junkshop - Compute: CPU-Only Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 62.09 |========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 63.41 |=========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 64.08 |=========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 62.21 |========================== Blender 4.2 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 448.96 |========================= 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 459.12 |========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 459.19 |========================== 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 450.71 |========================== XNNPACK 2cd86b Model: FP32MobileNetV2 us < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 1264 |============================ 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 1272 |============================ 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 1285 |============================ 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 1273 |============================ XNNPACK 2cd86b Model: FP32MobileNetV3Large us < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 1516 |=========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 1553 |=========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 1590 |============================ 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 1527 |=========================== XNNPACK 2cd86b Model: FP32MobileNetV3Small us < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 812 |============================ 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 818 |============================ 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 836 |============================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 815 |============================ XNNPACK 2cd86b Model: FP16MobileNetV2 us < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 985 |=========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 997 |=========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 1018 |============================ 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 996 |=========================== XNNPACK 2cd86b Model: FP16MobileNetV3Large us < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 1291 |=========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 1302 |=========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 1334 |============================ 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 1303 |=========================== XNNPACK 2cd86b Model: FP16MobileNetV3Small us < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 770 |============================ 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 773 |============================ 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 797 |============================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 776 |============================ XNNPACK 2cd86b Model: QU8MobileNetV2 us < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 759 |============================ 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 765 |============================ 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 783 |============================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 765 |============================ XNNPACK 2cd86b Model: QU8MobileNetV3Large us < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 1118 |=========================== 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 1124 |=========================== 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 1154 |============================ 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 1115 |=========================== XNNPACK 2cd86b Model: QU8MobileNetV3Small us < Lower Is Better 2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G ... 756 |============================ 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36 . 764 |============================ 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38 . 786 |============================= 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32 . 761 |============================