AMD EPYC Genoa Memory Scaling

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 2212240-NE-AMDEPYCGE62
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12c
December 21 2022
  11 Hours, 55 Minutes
10c
December 21 2022
  12 Hours, 59 Minutes
8c
December 22 2022
  13 Hours, 22 Minutes
6c
December 23 2022
  15 Hours, 14 Minutes
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AMD EPYC Genoa Memory Scaling Benchmarks by Michael Larabel for a future article. ,,"12c","10c","8c","6c" Processor,,2 x AMD EPYC 9654 96-Core @ 2.40GHz (192 Cores / 384 Threads),2 x AMD EPYC 9654 96-Core @ 2.40GHz (192 Cores / 384 Threads),2 x AMD EPYC 9654 96-Core @ 2.40GHz (192 Cores / 384 Threads),2 x AMD EPYC 9654 96-Core @ 2.40GHz (192 Cores / 384 Threads) Motherboard,,AMD Titanite_4G (RTI1002E BIOS),AMD Titanite_4G (RTI1002E BIOS),AMD Titanite_4G (RTI1002E BIOS),AMD Titanite_4G (RTI1002E BIOS) Chipset,,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4,AMD Device 14a4 Memory,,1520GB,1264GB,1008GB,768GB Disk,,800GB INTEL SSDPF21Q800GB,800GB INTEL SSDPF21Q800GB,800GB INTEL SSDPF21Q800GB,800GB INTEL SSDPF21Q800GB Graphics,,ASPEED,ASPEED,ASPEED,ASPEED Monitor,,VGA HDMI,VGA HDMI,VGA HDMI,VGA HDMI Network,,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe OS,,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10 Kernel,,6.1.0-phx (x86_64),6.1.0-phx (x86_64),6.1.0-phx (x86_64),6.1.0-phx (x86_64) Desktop,,GNOME Shell 43.0,GNOME Shell 43.0,GNOME Shell 43.0,GNOME Shell 43.0 Display Server,,X Server 1.21.1.4,X Server 1.21.1.4,X Server 1.21.1.4,X Server 1.21.1.4 Vulkan,,1.3.224,1.3.224,1.3.224,1.3.224 Compiler,,GCC 12.2.0 + Clang 15.0.2-1,GCC 12.2.0 + Clang 15.0.2-1,GCC 12.2.0 + Clang 15.0.2-1,GCC 12.2.0 + Clang 15.0.2-1 File-System,,ext4,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080,1920x1080 ,,"12c","10c","8c","6c" "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,923176,893433,879430,824926 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,1181435,1171627,1159901,1177484 "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,70.407733,70.613775,71.010323,70.898312 "Apache Cassandra - Test: Writes (Op/s)",HIB,251793,243603,240854,246882 "ASTC Encoder - Preset: Thorough (MT/s)",HIB,106.5663,106.8542,107.1108,106.5095 "ASTC Encoder - Preset: Exhaustive (MT/s)",HIB,11.7250,11.7637,11.8090,11.8207 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,8.58,8.42,8.34,8.33 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,20.92,20.76,20.68,20.71 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,81.03,80.37,80.18,79.93 "Build2 - Time To Compile (sec)",LIB,49.917,49.800,49.871,50.084 "CockroachDB - Workload: MoVR - Concurrency: 512 (ops/s)",HIB,948.5,949.6,960.3,954.7 "CockroachDB - Workload: MoVR - Concurrency: 1024 (ops/s)",HIB,953.8,949.5,946.9,952.7 "CockroachDB - Workload: KV, 10% Reads - Concurrency: 512 (ops/s)",HIB,35970.0,35993.1,34832.9,35742.3 "CockroachDB - Workload: KV, 50% Reads - Concurrency: 512 (ops/s)",HIB,47621.9,49102.7,47596.6,47428.0 "CockroachDB - Workload: KV, 60% Reads - Concurrency: 512 (ops/s)",HIB,52330.1,51748.8,52515.2,51275.1 "CockroachDB - Workload: KV, 95% Reads - Concurrency: 512 (ops/s)",HIB,64467.6,60769.7,64111.9,62666.5 "CockroachDB - Workload: KV, 10% Reads - Concurrency: 1024 (ops/s)",HIB,36846.9,35776.8,36685.7,36329.6 "CockroachDB - Workload: KV, 50% Reads - Concurrency: 1024 (ops/s)",HIB,47465.5,48449.0,47498.1,47593.9 "CockroachDB - Workload: KV, 60% Reads - Concurrency: 1024 (ops/s)",HIB,52573.3,51959.5,52559.0,52626.4 "CockroachDB - Workload: KV, 95% Reads - Concurrency: 1024 (ops/s)",HIB,64661.8,62029.8,58195.5,60137.3 "DaCapo Benchmark - Java Test: H2 (msec)",LIB,4802,4832,4731,4830 "DaCapo Benchmark - Java Test: Jython (msec)",LIB,3380,3329,3369,3345 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,182.4498,184.7346,185.4907,187.6107 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,213.7507,214.3093,217.4060,221.2898 "GPAW - Input: Carbon Nanotube (sec)",LIB,23.151,23.373,24.598,26.308 "Graph500 - Scale: 26 (sssp median_TEPS)",HIB,565152000,574018000,531854000,392496000 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,18.706,18.677,18.678,17.940 "High Performance Conjugate Gradient - (GFLOP/s)",HIB,86.8143,48.2945,45.0005,36.5411 "Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 (Images / Sec)",HIB,3.52,3.44,3.47,3.29 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 (Images / Sec)",HIB,1.65,1.63,1.64,1.54 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,62.56,62.23,61.81,61.40 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,73.44,75.35,73.04,71.41 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,77.83,77.30,76.84,75.86 "libavif avifenc - Encoder Speed: 0 (sec)",LIB,63.247,63.246,62.961,63.803 "libavif avifenc - Encoder Speed: 2 (sec)",LIB,34.848,34.909,34.687,34.874 "libavif avifenc - Encoder Speed: 6 (sec)",LIB,2.459,2.411,2.420,2.435 "libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,5.287,5.286,5.270,5.330 "libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,4.241,4.337,4.252,4.250 "Liquid-DSP - Threads: 256 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,10347000000,10340000000,10337666667,10340333333 "Liquid-DSP - Threads: 384 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,10347000000,10352666667,10349666667,10349000000 "LuxCoreRender - Scene: Danish Mood - Acceleration: CPU (M samples/sec)",HIB,9.69,9.62,9.56,9.49 "LuxCoreRender - Scene: Orange Juice - Acceleration: CPU (M samples/sec)",HIB,28.82,28.19,29.04,28.90 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (GFInst/s)",HIB,8640.310,8666.980,8615.967,8651.924 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s)",HIB,345.612,346.679,344.639,346.077 "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,0.12783,0.12759,0.12768,0.12820 "NAS Parallel Benchmarks - Test / Class: CG.C (Mop/s)",HIB,80225.01,81179.00,79784.15,71662.28 "NAS Parallel Benchmarks - Test / Class: IS.D (Mop/s)",HIB,8491.01,7124.92,6675.71,5690.01 "NAS Parallel Benchmarks - Test / Class: LU.C (Mop/s)",HIB,489164.65,489995.20,466769.54,454360.62 "NAS Parallel Benchmarks - Test / Class: MG.C (Mop/s)",HIB,209846.76,177097.42,153458.78,117733.57 "NAS Parallel Benchmarks - Test / Class: SP.C (Mop/s)",HIB,260471.50,239496.01,208535.23,167474.70 "nekRS - Input: TurboPipe Periodic (FLOP/s)",HIB,821462000000,786258000000,740247000000,659554333333 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,84.3506,84.4822,84.2115,82.4869 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,1133.2823,1133.1821,1136.8544,1148.4964 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,761.4853,742.7956,705.7116,575.7518 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,125.7196,128.9249,135.6212,166.4322 "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,856.0186,844.4268,773.0686,635.0246 "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,111.8909,113.4079,123.8576,150.9167 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,1964.2730,1965.5606,1954.1227,1930.3277 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,48.7673,48.7431,48.9982,49.6278 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,1195.9102,1201.1391,1201.9839,1190.5286 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,80.0790,79.7139,79.6865,80.4399 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,615.4474,611.2926,614.6105,608.5336 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,155.4797,156.5374,155.8191,157.2164 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,84.2470,84.2657,84.1546,82.2613 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,1133.4774,1135.1845,1137.5119,1148.3278 "nginx - Connections: 500 (Reqs/sec)",HIB,201032.06,198858.66,197081.98,196805.30 "NWChem - Input: C240 Buckyball (sec)",LIB,1537.1,1531,1519.6,1517.9 "oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3.95471,4.00938,3.99305,3.96488 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1968.70,2030.72,1982.15,2072.57 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2344.29,2438.00,2375.45,2479.62 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2275.86,2325.71,2371.78,2471.57 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.446930,0.463454,0.465796,0.465059 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inferences/min)",HIB,254,255,257,253 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Execution Time (sec)",LIB,109.53721,117.94003,166.14971,227.89595 "OpenRadioss - Model: Bumper Beam (sec)",LIB,79.86,79.70,79.20,79.62 "OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,216.88,218.22,219.45,219.10 "OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,81.57,81.15,81.09,80.81 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,101.74,102.01,101.26,101.08 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,470.98,469.43,472.84,473.69 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,42.98,42.94,42.59,41.33 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,1109.45,1110.44,1119.79,1153.70 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,42.95,43.18,42.22,41.44 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,1110.68,1104.59,1129.01,1150.54 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,7394.65,7425.10,7389.00,7306.47 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,6.48,6.45,6.49,6.56 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,191.43,192.30,192.25,191.29 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,250.34,249.12,249.26,250.49 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,11018.37,11066.16,11108.16,11150.32 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,4.35,4.33,4.31,4.30 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,9867.41,9900.47,9931.49,9959.38 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,4.85,4.83,4.82,4.81 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,959.16,934.71,875.39,817.27 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,49.98,51.29,54.80,58.67 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,19171.51,19254.08,19278.93,19314.04 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,9.95,9.91,9.90,9.89 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,9038.47,9063.84,9113.11,9081.73 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,5.30,5.28,5.26,5.28 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,147769.26,147717.32,152292.39,151213.17 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,0.55,0.55,0.55,0.54 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,119606.21,122938.23,123571.68,121027.25 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.97,0.98,0.98,0.97 "OpenVKL - Benchmark: vklBenchmark ISPC (Items / Sec)",HIB,1325,1317,1325,1212 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,43.7061,43.0316,43.9700,43.3575 "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,42.7970,42.9999,43.8442,43.2396 "OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,229.269,230.282,228.581,230.440 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,43.9775,43.9969,44.2302,44.2716 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,43.1262,43.3287,43.4310,43.2899 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,53.7748,54.4083,54.5087,54.6054 "RELION - Test: Basic - Device: CPU (sec)",LIB,128.101,151.398,221.336,258.500 "Rodinia - Test: OpenMP CFD Solver (sec)",LIB,6.050,6.074,5.970,6.152 "Rodinia - Test: OpenMP Streamcluster (sec)",LIB,6.001,6.285,6.018,6.409 "simdjson - Throughput Test: Kostya (GB/s)",HIB,4.11,4.11,4.11,4.11 "simdjson - Throughput Test: TopTweet (GB/s)",HIB,6.59,6.49,6.57,6.55 "simdjson - Throughput Test: LargeRandom (GB/s)",HIB,1.25,1.25,1.25,1.24 "simdjson - Throughput Test: PartialTweets (GB/s)",HIB,5.65,5.67,5.66,5.69 "simdjson - Throughput Test: DistinctUserID (GB/s)",HIB,6.86,6.84,6.86,6.83 "Stargate Digital Audio Workstation - Sample Rate: 96000 - Buffer Size: 1024 (Render Ratio)",HIB,4.345890,4.354556,4.351402,4.364767 "Stargate Digital Audio Workstation - Sample Rate: 192000 - Buffer Size: 1024 (Render Ratio)",HIB,2.829061,2.806190,2.811555,2.824814 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,251.769,241.369,227.898,221.161 "TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec)",HIB,109.13,105.91,105.01,95.67 "Timed Apache Compilation - Time To Compile (sec)",LIB,20.461,20.480,20.589,20.720 "Timed GDB GNU Debugger Compilation - Time To Compile (sec)",LIB,41.709,42.412,42.409,43.245 "Timed Gem5 Compilation - Time To Compile (sec)",LIB,139.238,134.373,136.793,134.695 "Timed Godot Game Engine Compilation - Time To Compile (sec)",LIB,34.032,33.616,33.905,33.671 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,25.501,25.407,25.528,24.747 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,147.147,145.410,147.377,145.766 "Timed LLVM Compilation - Build System: Ninja (sec)",LIB,75.655,75.440,75.725,76.747 "Timed Mesa Compilation - Time To Compile (sec)",LIB,20.117,20.205,20.107,20.157 "Timed MPlayer Compilation - Time To Compile (sec)",LIB,7.777,7.755,7.808,7.773 "Timed Node.js Compilation - Time To Compile (sec)",LIB,101.465,101.941,101.149,102.776 "Timed PHP Compilation - Time To Compile (sec)",LIB,44.519,44.608,44.583,44.698 "WRF - Input: conus 2.5km (sec)",LIB,4070.19,4563.183,6551.876,7432.655 "Xcompact3d Incompact3d - Input: X3D-benchmarking input.i3d (sec)",LIB,125.526248,146.289830,270.091271,348.880025 "Xmrig - Variant: Monero - Hash Count: 1M (H/s)",HIB,104604.6,102599.6,101953.5,100446.2 "Xmrig - Variant: Wownero - Hash Count: 1M (H/s)",HIB,126465.6,127226.6,127081.2,126057.7