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
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"
"miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s)",HIB,345.612,346.679,344.639,346.077
"nekRS - Input: TurboPipe Periodic (FLOP/s)",HIB,821462000000,786258000000,740247000000,659554333333
"OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,101.74,102.01,101.26,101.08
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,42.98,42.94,42.59,41.33
"OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,42.95,43.18,42.22,41.44
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,7394.65,7425.10,7389.00,7306.47
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,191.43,192.30,192.25,191.29
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,11018.37,11066.16,11108.16,11150.32
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,9867.41,9900.47,9931.49,9959.38
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,959.16,934.71,875.39,817.27
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,19171.51,19254.08,19278.93,19314.04
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,9038.47,9063.84,9113.11,9081.73
"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-INT8 - Device: CPU (FPS)",HIB,119606.21,122938.23,123571.68,121027.25
"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
"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
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,251.769,241.369,227.898,221.161
"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
"miniBUDE - Implementation: OpenMP - Input Deck: BM2 (GFInst/s)",HIB,8640.310,8666.980,8615.967,8651.924
"High Performance Conjugate Gradient - (GFLOP/s)",HIB,86.8143,48.2945,45.0005,36.5411
"ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,70.407733,70.613775,71.010323,70.898312
"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
"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
"TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec)",HIB,109.13,105.91,105.01,95.67
"ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inferences/min)",HIB,254,255,257,253
"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
"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 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: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,856.0186,844.4268,773.0686,635.0246
"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: 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, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,615.4474,611.2926,614.6105,608.5336
"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
"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
"7-Zip Compression - Test: Compression Rating (MIPS)",HIB,923176,893433,879430,824926
"7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,1181435,1171627,1159901,1177484
"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
"GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,18.706,18.677,18.678,17.940
"Apache Cassandra - Test: Writes (Op/s)",HIB,251793,243603,240854,246882
"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
"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
"nginx - Connections: 500 (Reqs/sec)",HIB,201032.06,198858.66,197081.98,196805.30
"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
"Graph500 - Scale: 26 (sssp median_TEPS)",HIB,565152000,574018000,531854000,392496000
"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
"NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,0.12783,0.12759,0.12768,0.12820
"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
"OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,470.98,469.43,472.84,473.69
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,1109.45,1110.44,1119.79,1153.70
"OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,1110.68,1104.59,1129.01,1150.54
"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 (ms)",LIB,250.34,249.12,249.26,250.49
"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 (ms)",LIB,4.85,4.83,4.82,4.81
"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 (ms)",LIB,9.95,9.91,9.90,9.89
"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 (ms)",LIB,0.55,0.55,0.55,0.54
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.97,0.98,0.98,0.97
"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 (ms/batch)",LIB,125.7196,128.9249,135.6212,166.4322
"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 (ms/batch)",LIB,48.7673,48.7431,48.9982,49.6278
"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 (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 (ms/batch)",LIB,1133.4774,1135.1845,1137.5119,1148.3278
"DaCapo Benchmark - Java Test: H2 (msec)",LIB,4802,4832,4731,4830
"DaCapo Benchmark - Java Test: Jython (msec)",LIB,3380,3329,3369,3345
"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
"NWChem - Input: C240 Buckyball (sec)",LIB,1537.1,1531,1519.6,1517.9
"Xcompact3d Incompact3d - Input: X3D-benchmarking input.i3d (sec)",LIB,125.526248,146.289830,270.091271,348.880025
"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
"RELION - Test: Basic - Device: CPU (sec)",LIB,128.101,151.398,221.336,258.500
"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
"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
"Build2 - Time To Compile (sec)",LIB,49.917,49.800,49.871,50.084
"WRF - Input: conus 2.5km (sec)",LIB,4070.19,4563.183,6551.876,7432.655
"GPAW - Input: Carbon Nanotube (sec)",LIB,23.151,23.373,24.598,26.308
"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