4th Gen AMD EPYC "Genoa" Secure Memory Encryption (SME) 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 2212212-NE-AMDSMEBEN19
AMD SME Benchmark Genoa
4th Gen AMD EPYC "Genoa" Secure Memory Encryption (SME) benchmarks by Michael Larabel for a future article.
,,"No SME","AMD SME Enabled"
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)
Motherboard,,AMD Titanite_4G (RTI1002E BIOS),AMD Titanite_4G (RTI1002E BIOS)
Chipset,,AMD Device 14a4,AMD Device 14a4
Memory,,1520GB,1520GB
Disk,,800GB INTEL SSDPF21Q800GB,800GB INTEL SSDPF21Q800GB
Graphics,,ASPEED,ASPEED
Monitor,,VGA HDMI,VGA HDMI
Network,,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe
OS,,Ubuntu 22.10,Ubuntu 22.10
Kernel,,6.1.0-phx (x86_64),6.1.0-phx (x86_64)
Desktop,,GNOME Shell 43.0,GNOME Shell 43.0
Display Server,,X Server 1.21.1.4,X Server 1.21.1.4
Vulkan,,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
File-System,,ext4,ext4
Screen Resolution,,1920x1080,1920x1080
,,"No SME","AMD SME Enabled"
"QuantLib - (MFLOPS)",HIB,3052.8,3061.3
"High Performance Conjugate Gradient - (GFLOP/s)",HIB,88.3902,87.1501
"NAS Parallel Benchmarks - Test / Class: BT.C (Mop/s)",HIB,496467.98,494917.44
"NAS Parallel Benchmarks - Test / Class: EP.C (Mop/s)",HIB,16457.94,16462.35
"NAS Parallel Benchmarks - Test / Class: FT.C (Mop/s)",HIB,223096.07,220214.75
"NAS Parallel Benchmarks - Test / Class: SP.C (Mop/s)",HIB,255564.19,253299.33
"miniBUDE - Implementation: OpenMP - Input Deck: BM1 (GFInst/s)",HIB,7281.284,7290.636
"miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s)",HIB,291.251,291.625
"miniBUDE - Implementation: OpenMP - Input Deck: BM2 (GFInst/s)",HIB,8633.544,8588.749
"miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s)",HIB,345.342,343.550
"Rodinia - Test: OpenMP LavaMD (sec)",LIB,16.508,16.669
"Rodinia - Test: OpenMP CFD Solver (sec)",LIB,5.938,6.043
"NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,0.12831,0.12991
"NWChem - Input: C240 Buckyball (sec)",LIB,1524.4,1543.1
"Xcompact3d Incompact3d - Input: input.i3d 193 Cells Per Direction (sec)",LIB,4.37420527,4.42424568
"OpenFOAM - Input: drivaerFastback, Small Mesh Size - Mesh Time (sec)",LIB,25.06787,27.099458
"OpenFOAM - Input: drivaerFastback, Small Mesh Size - Execution Time (sec)",LIB,22.084264,22.13302
"OpenRadioss - Model: Bumper Beam (sec)",LIB,79.85,79.97
"OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,18.45,18.32
"OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,80.88,80.90
"RELION - Test: Basic - Device: CPU (sec)",LIB,128.655,130.426
"LULESH - (z/s)",HIB,59069.405,57686.086
"Xmrig - Variant: Monero - Hash Count: 1M (H/s)",HIB,105141.7,101932.1
"Xmrig - Variant: Wownero - Hash Count: 1M (H/s)",HIB,126508.3,123484.1
"DaCapo Benchmark - Java Test: H2 (msec)",LIB,4807,5050
"Renaissance - Test: Finagle HTTP Requests (ms)",LIB,12286.3,12347.5
"Renaissance - Test: In-Memory Database Shootout (ms)",LIB,4764.6,4838.5
"Zstd Compression - Compression Level: 19, Long Mode - Compression Speed (MB/s)",HIB,52.9,49.9
"Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s)",HIB,3825.0,3837.3
"srsRAN - Test: OFDM_Test (Samples / Second)",HIB,161733333,162633333
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM (eNb Mb/s)",HIB,415.1,408.5
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM (UE Mb/s)",HIB,157.8,157.7
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM (eNb Mb/s)",HIB,413.9,415.7
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM (UE Mb/s)",HIB,165.8,165.9
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM (eNb Mb/s)",HIB,445.2,444.8
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM (UE Mb/s)",HIB,166.0,165.7
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM (eNb Mb/s)",HIB,444.0,445.7
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM (UE Mb/s)",HIB,172.7,172.2
"srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (eNb Mb/s)",HIB,139.7,139.1
"srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (UE Mb/s)",HIB,94.4,94.9
"AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K (FPS)",HIB,34.47,33.12
"Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,183.2528,180.5717
"Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,74.31,73.32
"Kvazaar - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,77.68,76.22
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,248.334,251.441
"x264 - Video Input: Bosphorus 4K (FPS)",HIB,106.86,103.07
"x265 - Video Input: Bosphorus 4K (FPS)",HIB,23.48,23.29
"ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,70.372095,70.277437
"Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 (Images / Sec)",HIB,1.66,1.66
"OpenVKL - Benchmark: vklBenchmark ISPC (Items / Sec)",HIB,1322,1286
"OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,230.617,229.879
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,43.8478,43.3785
"7-Zip Compression - Test: Compression Rating (MIPS)",HIB,917782,885135
"7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,1160632,1169038
"libavif avifenc - Encoder Speed: 2 (sec)",LIB,34.690,35.260
"libavif avifenc - Encoder Speed: 6 (sec)",LIB,2.393,2.469
"Timed Gem5 Compilation - Time To Compile (sec)",LIB,138.639,142.181
"Timed Godot Game Engine Compilation - Time To Compile (sec)",LIB,34.141,35.038
"Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,25.709,25.303
"Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,146.325,148.435
"Timed LLVM Compilation - Build System: Ninja (sec)",LIB,75.329,76.629
"Timed LLVM Compilation - Build System: Unix Makefiles (sec)",LIB,160.129,162.629
"OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer (ms)",LIB,22043,22614
"Liquid-DSP - Threads: 256 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,10332000000,10344666667
"Liquid-DSP - Threads: 384 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,10346000000,10350000000
"ASKAP - Test: tConvolve MPI - Degridding (Mpix/sec)",HIB,83598.3,78718.7
"ASKAP - Test: tConvolve MPI - Gridding (Mpix/sec)",HIB,93071.0,89541.8
"ASTC Encoder - Preset: Thorough (MT/s)",HIB,106.4244,106.5566
"ASTC Encoder - Preset: Exhaustive (MT/s)",HIB,11.8206,11.8379
"Graph500 - Scale: 26 (bfs median_TEPS)",HIB,1426480000,1358510000
"Graph500 - Scale: 26 (bfs max_TEPS)",HIB,1533180000,1526380000
"Graph500 - Scale: 26 (sssp median_TEPS)",HIB,593153000,572510000
"Graph500 - Scale: 26 (sssp max_TEPS)",HIB,838505000,835467000
"GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,18.712,18.623
"PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Only (TPS)",HIB,2951147,2970869
"TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,508.40,505.26
"KTX-Software toktx - Settings: Zstd Compression 9 (sec)",LIB,2.734,2.776
"KTX-Software toktx - Settings: Zstd Compression 19 (sec)",LIB,18.863,19.881
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,84.2500,83.6363
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,1134.4234,1143.0364
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,762.6984,745.6412
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,125.5335,128.4001
"Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,858.4729,840.9404
"Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,111.4614,113.8270
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,1962.1024,1911.3999
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,48.8291,50.1080
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,1204.8491,1178.9990
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,79.4895,81.2258
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,617.0281,601.9341
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,155.1029,158.9428
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,84.2764,83.8173
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,1133.3132,1143.0106
"WRF - Input: conus 2.5km (sec)",LIB,4077.189,4116.62
"GPAW - Input: Carbon Nanotube (sec)",LIB,23.167,22.981
"Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,20.99,20.95
"Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,80.77,81.57
"OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,101.90,101.55
"OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,469.81,471.53
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,43.29,42.33
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,1102.15,1127.51
"OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,42.76,42.03
"OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,1115.56,1134.68
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,7437.73,7274.98
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,6.44,6.59
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,193.95,193.83
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,246.95,247.23
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,11180.63,11184.76
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,4.28,4.28
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,9997.68,9990.19
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,4.79,4.79
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,967.90,963.14
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,49.54,49.78
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,19801.40,19704.84
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,9.62,9.67
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,9027.72,8993.90
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,5.31,5.33
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,150792.42,148736.04
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,0.55,0.55
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,165194.42,167545.54
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.36,0.36
"Xsbench - (Lookups/s)",HIB,29806415,29021428
"nginx - Connections: 500 (Reqs/sec)",HIB,201056.69,196386.41
"ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inferences/min)",HIB,5600,5583
"Appleseed - Scene: Emily (sec)",LIB,142.94702,150.92071
"PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB,0.884,0.934
"PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB,1.691,1.744
"oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.863726,0.850418
"oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3.89299,3.92313
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,0.522052,0.526628
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,22.6795,23.1429
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.916133,0.918482
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,2011.15,2002.43