2 x AMD EPYC 7601 32-Core testing with a Dell 02MJ3T (1.2.5 BIOS) and Matrox G200eW3 on Ubuntu 22.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2211191-NE-ZEN1EPYC673
zen 1 epyc
2 x AMD EPYC 7601 32-Core testing with a Dell 02MJ3T (1.2.5 BIOS) and Matrox G200eW3 on Ubuntu 22.04 via the Phoronix Test Suite.
a:
Processor: 2 x AMD EPYC 7601 32-Core (64 Cores / 128 Threads), Motherboard: Dell 02MJ3T (1.2.5 BIOS), Chipset: AMD 17h, Memory: 512GB, Disk: 280GB INTEL SSDPED1D280GA + 12 x 500GB Samsung SSD 860 + 120GB INTEL SSDSCKJB120G7R, Graphics: Matrox G200eW3, Monitor: VE228, Network: 2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA + 2 x Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 22.04, Kernel: 5.15.0-40-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1600x1200
b:
Processor: 2 x AMD EPYC 7601 32-Core (64 Cores / 128 Threads), Motherboard: Dell 02MJ3T (1.2.5 BIOS), Chipset: AMD 17h, Memory: 512GB, Disk: 280GB INTEL SSDPED1D280GA + 12 x 500GB Samsung SSD 860 + 120GB INTEL SSDSCKJB120G7R, Graphics: Matrox G200eW3, Monitor: VE228, Network: 2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA + 2 x Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 22.04, Kernel: 5.15.0-40-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1600x1200
Unpacking The Linux Kernel 5.19
linux-5.19.tar.xz
Seconds < Lower Is Better
a . 10.56 |===================================================================
b . 10.65 |====================================================================
C-Blosc 2.3
Test: blosclz shuffle
MB/s > Higher Is Better
a . 8493.2 |===================================================================
b . 8534.5 |===================================================================
C-Blosc 2.3
Test: blosclz bitshuffle
MB/s > Higher Is Better
a . 5328.2 |===================================================================
b . 5318.7 |===================================================================
miniBUDE 20210901
Implementation: OpenMP - Input Deck: BM1
GFInst/s > Higher Is Better
a . 696.80 |===================================================================
b . 687.88 |==================================================================
miniBUDE 20210901
Implementation: OpenMP - Input Deck: BM1
Billion Interactions/s > Higher Is Better
a . 27.87 |====================================================================
b . 27.52 |===================================================================
miniBUDE 20210901
Implementation: OpenMP - Input Deck: BM2
GFInst/s > Higher Is Better
a . 753.17 |===================================================================
b . 742.30 |==================================================================
miniBUDE 20210901
Implementation: OpenMP - Input Deck: BM2
Billion Interactions/s > Higher Is Better
a . 30.13 |====================================================================
b . 29.69 |===================================================================
SMHasher 2022-08-22
Hash: wyhash
MiB/sec > Higher Is Better
a . 30087.23 |=================================================================
b . 30062.54 |=================================================================
SMHasher 2022-08-22
Hash: wyhash
cycles/hash < Lower Is Better
a . 20.51 |====================================================================
b . 20.51 |====================================================================
SMHasher 2022-08-22
Hash: SHA3-256
MiB/sec > Higher Is Better
a . 171.09 |===================================================================
b . 171.13 |===================================================================
SMHasher 2022-08-22
Hash: SHA3-256
cycles/hash < Lower Is Better
a . 2294.23 |==================================================================
b . 2294.16 |==================================================================
SMHasher 2022-08-22
Hash: Spooky32
MiB/sec > Higher Is Better
a . 17912.16 |=================================================================
b . 17951.60 |=================================================================
SMHasher 2022-08-22
Hash: Spooky32
cycles/hash < Lower Is Better
a . 40.88 |====================================================================
b . 40.79 |====================================================================
SMHasher 2022-08-22
Hash: fasthash32
MiB/sec > Higher Is Better
a . 8316.13 |==================================================================
b . 8317.14 |==================================================================
SMHasher 2022-08-22
Hash: fasthash32
cycles/hash < Lower Is Better
a . 29.56 |====================================================================
b . 29.59 |====================================================================
SMHasher 2022-08-22
Hash: FarmHash128
MiB/sec > Higher Is Better
a . 19050.24 |=================================================================
b . 19028.89 |=================================================================
SMHasher 2022-08-22
Hash: FarmHash128
cycles/hash < Lower Is Better
a . 51.42 |====================================================================
b . 51.42 |====================================================================
SMHasher 2022-08-22
Hash: t1ha2_atonce
MiB/sec > Higher Is Better
a . 18815.25 |=================================================================
b . 18809.49 |=================================================================
SMHasher 2022-08-22
Hash: t1ha2_atonce
cycles/hash < Lower Is Better
a . 27.77 |====================================================================
b . 27.77 |====================================================================
SMHasher 2022-08-22
Hash: FarmHash32 x86_64 AVX
MiB/sec > Higher Is Better
a . 32899.32 |=================================================================
b . 32884.37 |=================================================================
SMHasher 2022-08-22
Hash: FarmHash32 x86_64 AVX
cycles/hash < Lower Is Better
a . 34.62 |====================================================================
b . 34.55 |====================================================================
SMHasher 2022-08-22
Hash: t1ha0_aes_avx2 x86_64
MiB/sec > Higher Is Better
a . 77196.31 |=================================================================
b . 76443.61 |================================================================
SMHasher 2022-08-22
Hash: t1ha0_aes_avx2 x86_64
cycles/hash < Lower Is Better
a . 27.31 |====================================================================
b . 27.31 |====================================================================
SMHasher 2022-08-22
Hash: MeowHash x86_64 AES-NI
MiB/sec > Higher Is Better
a . 41424.16 |=================================================================
b . 41393.48 |=================================================================
SMHasher 2022-08-22
Hash: MeowHash x86_64 AES-NI
cycles/hash < Lower Is Better
a . 47.36 |====================================================================
b . 47.35 |====================================================================
nekRS 22.0
Input: TurboPipe Periodic
FLOP/s > Higher Is Better
a . 184723000000 |=============================================================
b . 184827000000 |=============================================================
OpenFOAM 10
Input: drivaerFastback, Small Mesh Size - Mesh Time
Seconds < Lower Is Better
a . 34.10 |====================================================================
b . 34.19 |====================================================================
OpenFOAM 10
Input: drivaerFastback, Small Mesh Size - Execution Time
Seconds < Lower Is Better
a . 61.45 |==================================================================
b . 62.97 |====================================================================
OpenFOAM 10
Input: drivaerFastback, Medium Mesh Size - Mesh Time
Seconds < Lower Is Better
a . 167.00 |===================================================================
b . 167.07 |===================================================================
OpenFOAM 10
Input: drivaerFastback, Medium Mesh Size - Execution Time
Seconds < Lower Is Better
a . 541.95 |===================================================================
b . 542.45 |===================================================================
OpenRadioss 2022.10.13
Model: Bumper Beam
Seconds < Lower Is Better
a . 108.51 |===================================================================
b . 108.31 |===================================================================
OpenRadioss 2022.10.13
Model: Cell Phone Drop Test
Seconds < Lower Is Better
a . 41.65 |====================================================================
b . 41.58 |====================================================================
OpenRadioss 2022.10.13
Model: Bird Strike on Windshield
Seconds < Lower Is Better
a . 185.26 |==================================================================
b . 186.71 |===================================================================
OpenRadioss 2022.10.13
Model: Rubber O-Ring Seal Installation
Seconds < Lower Is Better
a . 118.00 |===================================================================
b . 117.84 |===================================================================
OpenRadioss 2022.10.13
Model: INIVOL and Fluid Structure Interaction Drop Container
Seconds < Lower Is Better
a . 210.39 |===================================================================
b . 207.85 |==================================================================
LAMMPS Molecular Dynamics Simulator 23Jun2022
Model: 20k Atoms
ns/day > Higher Is Better
a . 24.03 |====================================================================
b . 23.03 |=================================================================
LAMMPS Molecular Dynamics Simulator 23Jun2022
Model: Rhodopsin Protein
ns/day > Higher Is Better
a . 24.10 |====================================================================
b . 24.07 |====================================================================
Xmrig 6.18.1
Variant: Monero - Hash Count: 1M
H/s > Higher Is Better
a . 12797.7 |==================================================================
b . 10914.9 |========================================================
Xmrig 6.18.1
Variant: Wownero - Hash Count: 1M
H/s > Higher Is Better
a . 19243.7 |==================================================================
b . 19140.2 |==================================================================
JPEG XL libjxl 0.7
Input: PNG - Quality: 80
MP/s > Higher Is Better
a . 6.37 |=====================================================================
b . 6.38 |=====================================================================
JPEG XL libjxl 0.7
Input: PNG - Quality: 90
MP/s > Higher Is Better
a . 6.27 |=====================================================================
b . 6.29 |=====================================================================
JPEG XL libjxl 0.7
Input: JPEG - Quality: 80
MP/s > Higher Is Better
a . 6.10 |=====================================================================
b . 6.06 |=====================================================================
JPEG XL libjxl 0.7
Input: JPEG - Quality: 90
MP/s > Higher Is Better
a . 5.91 |=====================================================================
b . 5.94 |=====================================================================
JPEG XL libjxl 0.7
Input: PNG - Quality: 100
MP/s > Higher Is Better
a . 0.4 |======================================================================
b . 0.4 |======================================================================
JPEG XL libjxl 0.7
Input: JPEG - Quality: 100
MP/s > Higher Is Better
a . 0.4 |======================================================================
b . 0.4 |======================================================================
JPEG XL Decoding libjxl 0.7
CPU Threads: 1
MP/s > Higher Is Better
a . 26.86 |====================================================================
b . 27.01 |====================================================================
JPEG XL Decoding libjxl 0.7
CPU Threads: All
MP/s > Higher Is Better
a . 151.09 |===================================================================
b . 151.66 |===================================================================
WebP Image Encode 1.2.4
Encode Settings: Default
MP/s > Higher Is Better
a . 12.25 |====================================================================
b . 12.23 |====================================================================
WebP Image Encode 1.2.4
Encode Settings: Quality 100
MP/s > Higher Is Better
a . 7.73 |=====================================================================
b . 7.71 |=====================================================================
WebP Image Encode 1.2.4
Encode Settings: Quality 100, Lossless
MP/s > Higher Is Better
a . 1.06 |=====================================================================
b . 1.05 |====================================================================
WebP Image Encode 1.2.4
Encode Settings: Quality 100, Highest Compression
MP/s > Higher Is Better
a . 2.43 |=====================================================================
b . 2.43 |=====================================================================
WebP Image Encode 1.2.4
Encode Settings: Quality 100, Lossless, Highest Compression
MP/s > Higher Is Better
a . 0.41 |===================================================================
b . 0.42 |=====================================================================
WebP2 Image Encode 20220823
Encode Settings: Default
MP/s > Higher Is Better
a . 5.77 |==============================================================
b . 6.38 |=====================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 75, Compression Effort 7
MP/s > Higher Is Better
a . 0.38 |=====================================================================
b . 0.37 |===================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 95, Compression Effort 7
MP/s > Higher Is Better
a . 0.20 |=====================================================================
b . 0.20 |=====================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 100, Compression Effort 5
MP/s > Higher Is Better
a . 7.42 |=====================================================================
b . 7.35 |====================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 100, Lossless Compression
MP/s > Higher Is Better
a . 0.04 |=====================================================================
b . 0.04 |=====================================================================
srsRAN 22.04.1
Test: OFDM_Test
Samples / Second > Higher Is Better
a . 65700000 |=================================================================
b . 66100000 |=================================================================
srsRAN 22.04.1
Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM
eNb Mb/s > Higher Is Better
a . 252.8 |====================================================================
b . 252.3 |====================================================================
srsRAN 22.04.1
Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM
UE Mb/s > Higher Is Better
a . 86.2 |=====================================================================
b . 85.9 |=====================================================================
srsRAN 22.04.1
Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM
eNb Mb/s > Higher Is Better
a . 257.5 |====================================================================
b . 256.9 |====================================================================
srsRAN 22.04.1
Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM
UE Mb/s > Higher Is Better
a . 93.7 |=====================================================================
b . 93.6 |=====================================================================
srsRAN 22.04.1
Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM
eNb Mb/s > Higher Is Better
a . 274.2 |====================================================================
b . 273.0 |====================================================================
srsRAN 22.04.1
Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM
UE Mb/s > Higher Is Better
a . 92.0 |=====================================================================
b . 91.5 |=====================================================================
srsRAN 22.04.1
Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM
eNb Mb/s > Higher Is Better
a . 279.8 |====================================================================
b . 279.4 |====================================================================
srsRAN 22.04.1
Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM
UE Mb/s > Higher Is Better
a . 98.9 |=====================================================================
b . 99.0 |=====================================================================
srsRAN 22.04.1
Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
eNb Mb/s > Higher Is Better
a . 69.7 |=====================================================================
b . 69.7 |=====================================================================
srsRAN 22.04.1
Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
UE Mb/s > Higher Is Better
a . 38.0 |=====================================================================
b . 38.1 |=====================================================================
GraphicsMagick 1.3.38
Operation: Swirl
Iterations Per Minute > Higher Is Better
a . 1243 |=====================================================================
b . 1247 |=====================================================================
GraphicsMagick 1.3.38
Operation: Rotate
Iterations Per Minute > Higher Is Better
a . 443 |=====================================================================
b . 448 |======================================================================
GraphicsMagick 1.3.38
Operation: Sharpen
Iterations Per Minute > Higher Is Better
a . 561 |======================================================================
b . 555 |=====================================================================
GraphicsMagick 1.3.38
Operation: Enhanced
Iterations Per Minute > Higher Is Better
a . 743 |======================================================================
b . 740 |======================================================================
GraphicsMagick 1.3.38
Operation: Resizing
Iterations Per Minute > Higher Is Better
a . 167 |======================================================================
b . 135 |=========================================================
GraphicsMagick 1.3.38
Operation: Noise-Gaussian
Iterations Per Minute > Higher Is Better
a . 692 |======================================================================
b . 619 |===============================================================
GraphicsMagick 1.3.38
Operation: HWB Color Space
Iterations Per Minute > Higher Is Better
a . 1107 |=====================================================================
b . 957 |============================================================
AOM AV1 3.5
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 0.21 |=====================================================================
b . 0.21 |=====================================================================
AOM AV1 3.5
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 5.59 |=====================================================================
b . 5.56 |=====================================================================
AOM AV1 3.5
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 16.41 |====================================================================
b . 15.89 |==================================================================
AOM AV1 3.5
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 8.95 |=====================================================================
b . 8.71 |===================================================================
AOM AV1 3.5
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 18.51 |====================================================================
b . 17.14 |===============================================================
AOM AV1 3.5
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 21.01 |===================================================================
b . 21.39 |====================================================================
AOM AV1 3.5
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 21.95 |====================================================================
b . 21.83 |====================================================================
AOM AV1 3.5
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 0.60 |=====================================================================
b . 0.59 |====================================================================
AOM AV1 3.5
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 11.06 |====================================================================
b . 10.84 |===================================================================
AOM AV1 3.5
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 33.12 |===================================================================
b . 33.44 |====================================================================
AOM AV1 3.5
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 24.96 |====================================================================
b . 24.36 |==================================================================
AOM AV1 3.5
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 41.79 |====================================================================
b . 38.47 |===============================================================
AOM AV1 3.5
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 48.34 |====================================================================
b . 42.57 |============================================================
AOM AV1 3.5
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 45.43 |====================================================================
b . 42.01 |===============================================================
SVT-AV1 1.2
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 1.314 |====================================================================
b . 1.321 |====================================================================
SVT-AV1 1.2
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 27.82 |===================================================================
b . 28.06 |====================================================================
SVT-AV1 1.2
Encoder Mode: Preset 10 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 46.68 |============================================================
b . 52.96 |====================================================================
SVT-AV1 1.2
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 67.12 |==================================================================
b . 69.48 |====================================================================
SVT-AV1 1.2
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 3.531 |===================================================================
b . 3.561 |====================================================================
SVT-AV1 1.2
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 76.28 |====================================================================
b . 76.73 |====================================================================
SVT-AV1 1.2
Encoder Mode: Preset 10 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 161.41 |===================================================================
b . 159.55 |==================================================================
SVT-AV1 1.2
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 209.49 |============================================================
b . 234.71 |===================================================================
libavif avifenc 0.11
Encoder Speed: 0
Seconds < Lower Is Better
a . 136.61 |===================================================================
b . 136.59 |===================================================================
libavif avifenc 0.11
Encoder Speed: 2
Seconds < Lower Is Better
a . 78.90 |====================================================================
b . 79.11 |====================================================================
libavif avifenc 0.11
Encoder Speed: 6
Seconds < Lower Is Better
a . 5.268 |====================================================================
b . 5.268 |====================================================================
libavif avifenc 0.11
Encoder Speed: 6, Lossless
Seconds < Lower Is Better
a . 9.994 |==================================================================
b . 10.085 |===================================================================
libavif avifenc 0.11
Encoder Speed: 10, Lossless
Seconds < Lower Is Better
a . 7.613 |====================================================================
b . 7.653 |====================================================================
Timed Node.js Compilation 18.8
Time To Compile
Seconds < Lower Is Better
a . 217.33 |===================================================================
b . 215.92 |===================================================================
Timed PHP Compilation 8.1.9
Time To Compile
Seconds < Lower Is Better
a . 62.12 |====================================================================
b . 62.18 |====================================================================
Timed CPython Compilation 3.10.6
Build Configuration: Default
Seconds < Lower Is Better
a . 22.62 |====================================================================
b . 22.71 |====================================================================
Timed CPython Compilation 3.10.6
Build Configuration: Released Build, PGO + LTO Optimized
Seconds < Lower Is Better
a . 399.66 |===================================================================
b . 400.37 |===================================================================
Primesieve 8.0
Length: 1e12
Seconds < Lower Is Better
a . 4.638 |====================================================================
b . 4.660 |====================================================================
Primesieve 8.0
Length: 1e13
Seconds < Lower Is Better
a . 56.03 |====================================================================
b . 56.25 |====================================================================
Y-Cruncher 0.7.10.9513
Pi Digits To Calculate: 1B
Seconds < Lower Is Better
a . 21.58 |====================================================================
b . 21.56 |====================================================================
Y-Cruncher 0.7.10.9513
Pi Digits To Calculate: 500M
Seconds < Lower Is Better
a . 11.18 |====================================================================
b . 10.99 |===================================================================
oneDNN 2.7
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 5.12686 |==================================================================
b . 5.03993 |=================================================================
oneDNN 2.7
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 20.14 |====================================================================
b . 20.28 |====================================================================
oneDNN 2.7
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 4.23625 |==================================================================
b . 3.81237 |===========================================================
oneDNN 2.7
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 4.52585 |=================================================================
b . 4.58464 |==================================================================
oneDNN 2.7
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 2.7
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 2.7
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 21.03 |====================================================================
b . 20.06 |=================================================================
oneDNN 2.7
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 19.20 |====================================================================
b . 19.18 |====================================================================
oneDNN 2.7
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 6.0371 |===================================================================
b . 5.6399 |===============================================================
oneDNN 2.7
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 28.77 |====================================================================
b . 28.79 |====================================================================
oneDNN 2.7
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 4.14024 |===========================================================
b . 4.63109 |==================================================================
oneDNN 2.7
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 2.51501 |==================================================================
b . 2.51294 |==================================================================
oneDNN 2.7
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 7823.00 |=============================================================
b . 8504.29 |==================================================================
oneDNN 2.7
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 5300.36 |==================================================================
b . 5167.81 |================================================================
oneDNN 2.7
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 7893.57 |================================================================
b . 8148.11 |==================================================================
oneDNN 2.7
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 2.7
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 2.7
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 2.7
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 5167.40 |==================================================================
b . 5128.18 |=================================================================
oneDNN 2.7
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 9.48918 |==================================================================
b . 7.74858 |======================================================
oneDNN 2.7
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 8045.70 |==================================================================
b . 8013.88 |==================================================================
oneDNN 2.7
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 5157.60 |=================================================================
b . 5207.64 |==================================================================
oneDNN 2.7
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 29.77 |====================================================================
b . 28.90 |==================================================================
oneDNN 2.7
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
OSPRay Studio 0.11
Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
ms < Lower Is Better
a . 4233 |=====================================================================
b . 4239 |=====================================================================
OSPRay Studio 0.11
Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
ms < Lower Is Better
a . 4416 |=====================================================================
b . 4403 |=====================================================================
OSPRay Studio 0.11
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
ms < Lower Is Better
a . 5127 |=====================================================================
b . 5130 |=====================================================================
OSPRay Studio 0.11
Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer
ms < Lower Is Better
a . 78125 |====================================================================
b . 78264 |====================================================================
OSPRay Studio 0.11
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
ms < Lower Is Better
a . 145358 |===================================================================
b . 145660 |===================================================================
OSPRay Studio 0.11
Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer
ms < Lower Is Better
a . 80769 |====================================================================
b . 80340 |====================================================================
OSPRay Studio 0.11
Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
ms < Lower Is Better
a . 150980 |===================================================================
b . 151192 |===================================================================
OSPRay Studio 0.11
Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer
ms < Lower Is Better
a . 91958 |===================================================================
b . 92675 |====================================================================
OSPRay Studio 0.11
Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
ms < Lower Is Better
a . 173492 |===================================================================
b . 173590 |===================================================================
OSPRay Studio 0.11
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer
ms < Lower Is Better
a . 1062 |=====================================================================
b . 1060 |=====================================================================
OSPRay Studio 0.11
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer
ms < Lower Is Better
a . 1096 |=====================================================================
b . 1100 |=====================================================================
OSPRay Studio 0.11
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer
ms < Lower Is Better
a . 1282 |=====================================================================
b . 1277 |=====================================================================
OSPRay Studio 0.11
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
ms < Lower Is Better
a . 17188 |====================================================================
b . 17139 |====================================================================
OSPRay Studio 0.11
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
ms < Lower Is Better
a . 34160 |====================================================================
b . 34140 |====================================================================
OSPRay Studio 0.11
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
ms < Lower Is Better
a . 17838 |====================================================================
b . 17792 |====================================================================
OSPRay Studio 0.11
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
ms < Lower Is Better
a . 35696 |====================================================================
b . 35397 |===================================================================
OSPRay Studio 0.11
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
ms < Lower Is Better
a . 20597 |====================================================================
b . 20517 |====================================================================
OSPRay Studio 0.11
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
ms < Lower Is Better
a . 41292 |====================================================================
b . 41490 |====================================================================
Timed Erlang/OTP Compilation 25.0
Time To Compile
Seconds < Lower Is Better
a . 124.07 |===================================================================
b . 124.22 |===================================================================
Timed Wasmer Compilation 2.3
Time To Compile
Seconds < Lower Is Better
a . 73.78 |====================================================================
b . 73.49 |====================================================================
FLAC Audio Encoding 1.4
WAV To FLAC
Seconds < Lower Is Better
a . 28.87 |====================================================================
b . 28.74 |====================================================================
FFmpeg 5.1.2
Encoder: libx264 - Scenario: Live
Seconds < Lower Is Better
a . 38.85 |====================================================================
b . 38.76 |====================================================================
FFmpeg 5.1.2
Encoder: libx264 - Scenario: Live
FPS > Higher Is Better
a . 129.99 |===================================================================
b . 130.30 |===================================================================
FFmpeg 5.1.2
Encoder: libx265 - Scenario: Live
Seconds < Lower Is Better
a . 86.74 |===================================================================
b . 88.58 |====================================================================
FFmpeg 5.1.2
Encoder: libx265 - Scenario: Live
FPS > Higher Is Better
a . 58.22 |====================================================================
b . 57.01 |===================================================================
FFmpeg 5.1.2
Encoder: libx264 - Scenario: Upload
Seconds < Lower Is Better
a . 314.58 |===================================================================
b . 315.29 |===================================================================
FFmpeg 5.1.2
Encoder: libx264 - Scenario: Upload
FPS > Higher Is Better
a . 8.03 |=====================================================================
b . 8.01 |=====================================================================
FFmpeg 5.1.2
Encoder: libx265 - Scenario: Upload
Seconds < Lower Is Better
a . 241.65 |===================================================================
b . 240.52 |===================================================================
FFmpeg 5.1.2
Encoder: libx265 - Scenario: Upload
FPS > Higher Is Better
a . 10.45 |====================================================================
b . 10.50 |====================================================================
FFmpeg 5.1.2
Encoder: libx264 - Scenario: Platform
Seconds < Lower Is Better
a . 249.01 |==================================================================
b . 250.99 |===================================================================
FFmpeg 5.1.2
Encoder: libx264 - Scenario: Platform
FPS > Higher Is Better
a . 30.42 |====================================================================
b . 30.18 |===================================================================
FFmpeg 5.1.2
Encoder: libx265 - Scenario: Platform
Seconds < Lower Is Better
a . 356.59 |===================================================================
b . 356.16 |===================================================================
FFmpeg 5.1.2
Encoder: libx265 - Scenario: Platform
FPS > Higher Is Better
a . 21.24 |====================================================================
b . 21.27 |====================================================================
FFmpeg 5.1.2
Encoder: libx264 - Scenario: Video On Demand
Seconds < Lower Is Better
a . 250.83 |===================================================================
b . 250.37 |===================================================================
FFmpeg 5.1.2
Encoder: libx264 - Scenario: Video On Demand
FPS > Higher Is Better
a . 30.20 |====================================================================
b . 30.25 |====================================================================
FFmpeg 5.1.2
Encoder: libx265 - Scenario: Video On Demand
Seconds < Lower Is Better
a . 357.15 |===================================================================
b . 358.61 |===================================================================
FFmpeg 5.1.2
Encoder: libx265 - Scenario: Video On Demand
FPS > Higher Is Better
a . 21.21 |====================================================================
b . 21.12 |====================================================================
Aircrack-ng 1.7
k/s > Higher Is Better
a . 76103.37 |=================================================================
b . 74378.89 |================================================================
Cpuminer-Opt 3.20.3
Algorithm: Magi
kH/s > Higher Is Better
a . 1711.45 |==================================================================
b . 1702.45 |==================================================================
Cpuminer-Opt 3.20.3
Algorithm: x25x
kH/s > Higher Is Better
a . 1458.5 |===================================================================
b . 1452.6 |===================================================================
Cpuminer-Opt 3.20.3
Algorithm: scrypt
kH/s > Higher Is Better
a . 496.52 |===================================================================
b . 499.97 |===================================================================
Cpuminer-Opt 3.20.3
Algorithm: Deepcoin
kH/s > Higher Is Better
a . 27510 |====================================================================
b . 27490 |====================================================================
Cpuminer-Opt 3.20.3
Algorithm: Ringcoin
kH/s > Higher Is Better
a . 18480 |====================================================================
b . 18440 |====================================================================
Cpuminer-Opt 3.20.3
Algorithm: Blake-2 S
kH/s > Higher Is Better
a . 1098730 |==================================================================
b . 1098280 |==================================================================
Cpuminer-Opt 3.20.3
Algorithm: Garlicoin
kH/s > Higher Is Better
a . 13970 |=================================================================
b . 14530 |====================================================================
Cpuminer-Opt 3.20.3
Algorithm: Skeincoin
kH/s > Higher Is Better
a . 222070 |===================================================================
b . 222040 |===================================================================
Cpuminer-Opt 3.20.3
Algorithm: Myriad-Groestl
kH/s > Higher Is Better
a . 154070 |===================================================================
b . 152420 |==================================================================
Cpuminer-Opt 3.20.3
Algorithm: LBC, LBRY Credits
kH/s > Higher Is Better
a . 56960 |====================================================================
b . 56960 |====================================================================
Cpuminer-Opt 3.20.3
Algorithm: Quad SHA-256, Pyrite
kH/s > Higher Is Better
a . 374460 |===================================================================
b . 374430 |===================================================================
Cpuminer-Opt 3.20.3
Algorithm: Triple SHA-256, Onecoin
kH/s > Higher Is Better
a . 718010 |===================================================================
b . 718140 |===================================================================
Node.js V8 Web Tooling Benchmark
runs/s > Higher Is Better
a . 7.13 |=====================================================================
b . 7.02 |====================================================================
ClickHouse 22.5.4.19
100M Rows Web Analytics Dataset, First Run / Cold Cache
Queries Per Minute, Geo Mean > Higher Is Better
a . 241.18 |================================================================
b . 253.55 |===================================================================
ClickHouse 22.5.4.19
100M Rows Web Analytics Dataset, Second Run
Queries Per Minute, Geo Mean > Higher Is Better
a . 260.83 |================================================================
b . 271.13 |===================================================================
ClickHouse 22.5.4.19
100M Rows Web Analytics Dataset, Third Run
Queries Per Minute, Geo Mean > Higher Is Better
a . 272.09 |===================================================================
b . 256.64 |===============================================================
ASTC Encoder 4.0
Preset: Fast
MT/s > Higher Is Better
a . 382.01 |===================================================================
b . 376.39 |==================================================================
ASTC Encoder 4.0
Preset: Medium
MT/s > Higher Is Better
a . 151.81 |===================================================================
b . 152.24 |===================================================================
ASTC Encoder 4.0
Preset: Thorough
MT/s > Higher Is Better
a . 19.42 |====================================================================
b . 19.44 |====================================================================
ASTC Encoder 4.0
Preset: Exhaustive
MT/s > Higher Is Better
a . 2.2087 |===================================================================
b . 2.2093 |===================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 16 - Model: AlexNet
images/sec > Higher Is Better
a . 42.69 |====================================================================
b . 42.91 |====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 32 - Model: AlexNet
images/sec > Higher Is Better
a . 48.66 |====================================================================
b . 48.45 |====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 64 - Model: AlexNet
images/sec > Higher Is Better
a . 59.55 |====================================================================
b . 59.76 |====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 256 - Model: AlexNet
images/sec > Higher Is Better
a . 69.60 |====================================================================
b . 69.33 |====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 512 - Model: AlexNet
images/sec > Higher Is Better
a . 69.82 |====================================================================
b . 69.69 |====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 16 - Model: GoogLeNet
images/sec > Higher Is Better
a . 24.77 |====================================================================
b . 24.47 |===================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
a . 8.13 |=====================================================================
b . 8.12 |=====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 32 - Model: GoogLeNet
images/sec > Higher Is Better
a . 29.09 |====================================================================
b . 28.44 |==================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 32 - Model: ResNet-50
images/sec > Higher Is Better
a . 9.60 |====================================================================
b . 9.69 |=====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 64 - Model: GoogLeNet
images/sec > Higher Is Better
a . 30.13 |====================================================================
b . 30.12 |====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 64 - Model: ResNet-50
images/sec > Higher Is Better
a . 10.11 |====================================================================
b . 10.17 |====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 256 - Model: GoogLeNet
images/sec > Higher Is Better
a . 30.11 |====================================================================
b . 29.87 |===================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 256 - Model: ResNet-50
images/sec > Higher Is Better
a . 10.92 |====================================================================
b . 10.86 |====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 512 - Model: GoogLeNet
images/sec > Higher Is Better
a . 30.61 |====================================================================
b . 30.42 |====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 512 - Model: ResNet-50
images/sec > Higher Is Better
a . 11.24 |====================================================================
b . 11.32 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 22.60 |====================================================================
b . 22.57 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 1387.09 |=================================================================
b . 1398.93 |==================================================================
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 8.3625 |===================================================================
b . 8.2919 |==================================================================
Neural Magic DeepSparse 1.1
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 119.56 |==================================================================
b . 120.58 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 87.64 |====================================================================
b . 87.32 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 362.78 |===================================================================
b . 364.99 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 17.78 |===============================================================
b . 19.20 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 56.23 |====================================================================
b . 52.07 |===============================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 121.84 |===================================================================
b . 121.86 |===================================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 261.42 |===================================================================
b . 261.42 |===================================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 39.94 |====================================================================
b . 40.07 |====================================================================
Neural Magic DeepSparse 1.1
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 25.01 |====================================================================
b . 24.93 |====================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 249.29 |===================================================================
b . 250.90 |===================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 128.00 |===================================================================
b . 127.21 |===================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 73.57 |====================================================================
b . 73.87 |====================================================================
Neural Magic DeepSparse 1.1
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 13.57 |====================================================================
b . 13.52 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 192.29 |===================================================================
b . 192.64 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 166.11 |===================================================================
b . 165.70 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 51.24 |===================================================================
b . 51.63 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 19.50 |====================================================================
b . 19.35 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 96.10 |====================================================================
b . 96.55 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 331.23 |===================================================================
b . 330.53 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 26.32 |====================================================================
b . 26.05 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 37.97 |===================================================================
b . 38.38 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 22.65 |====================================================================
b . 22.67 |====================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 1387.30 |==================================================================
b . 1390.61 |==================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 8.1225 |==================================================================
b . 8.2228 |===================================================================
Neural Magic DeepSparse 1.1
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 123.10 |===================================================================
b . 121.59 |==================================================================
Stress-NG 0.14.06
Test: MMAP
Bogo Ops/s > Higher Is Better
a . 2418.27 |==================================================================
b . 2342.60 |================================================================
Stress-NG 0.14.06
Test: NUMA
Bogo Ops/s > Higher Is Better
a . 140.80 |===================================================================
b . 140.65 |===================================================================
Stress-NG 0.14.06
Test: Futex
Bogo Ops/s > Higher Is Better
a . 802471.30 |================================================================
b . 796565.52 |================================================================
Stress-NG 0.14.06
Test: MEMFD
Bogo Ops/s > Higher Is Better
a . 1751.42 |==================================================================
b . 1743.95 |==================================================================
Stress-NG 0.14.06
Test: Mutex
Bogo Ops/s > Higher Is Better
a . 17481256.34 |=============================================================
b . 17702491.79 |==============================================================
Stress-NG 0.14.06
Test: Atomic
Bogo Ops/s > Higher Is Better
a . 156802.93 |==========================================================
b . 172559.20 |================================================================
Stress-NG 0.14.06
Test: Crypto
Bogo Ops/s > Higher Is Better
a . 67640.35 |=================================================================
b . 67622.54 |=================================================================
Stress-NG 0.14.06
Test: Malloc
Bogo Ops/s > Higher Is Better
a . 146984386.17 |=============================================================
b . 148029623.74 |=============================================================
Stress-NG 0.14.06
Test: Forking
Bogo Ops/s > Higher Is Better
a . 19768.12 |=================================================================
b . 19540.99 |================================================================
Stress-NG 0.14.06
Test: IO_uring
Bogo Ops/s > Higher Is Better
a . 45731.60 |=================================================================
b . 45863.96 |=================================================================
Stress-NG 0.14.06
Test: SENDFILE
Bogo Ops/s > Higher Is Better
a . 678380.72 |================================================================
b . 678714.22 |================================================================
Stress-NG 0.14.06
Test: CPU Cache
Bogo Ops/s > Higher Is Better
a . 199.02 |===================================================
b . 259.54 |===================================================================
Stress-NG 0.14.06
Test: CPU Stress
Bogo Ops/s > Higher Is Better
a . 106647.20 |================================================================
b . 107074.79 |================================================================
Stress-NG 0.14.06
Test: Semaphores
Bogo Ops/s > Higher Is Better
a . 7247266.69 |===============================================================
b . 7261328.18 |===============================================================
Stress-NG 0.14.06
Test: Matrix Math
Bogo Ops/s > Higher Is Better
a . 215006.68 |================================================================
b . 215110.79 |================================================================
Stress-NG 0.14.06
Test: Vector Math
Bogo Ops/s > Higher Is Better
a . 266411.19 |================================================================
b . 266535.54 |================================================================
Stress-NG 0.14.06
Test: x86_64 RdRand
Stress-NG 0.14.06
Test: Memory Copying
Bogo Ops/s > Higher Is Better
a . 2328.14 |==============================================================
b . 2485.61 |==================================================================
Stress-NG 0.14.06
Test: Socket Activity
Bogo Ops/s > Higher Is Better
a . 25316.76 |===============================================================
b . 25937.03 |=================================================================
Stress-NG 0.14.06
Test: Context Switching
Bogo Ops/s > Higher Is Better
a . 14423511.17 |===========================================================
b . 15090386.73 |==============================================================
Stress-NG 0.14.06
Test: Glibc C String Functions
Bogo Ops/s > Higher Is Better
a . 5250106.25 |=============================================================
b . 5386266.71 |===============================================================
Stress-NG 0.14.06
Test: Glibc Qsort Data Sorting
Bogo Ops/s > Higher Is Better
a . 673.06 |===================================================================
b . 667.40 |==================================================================
Stress-NG 0.14.06
Test: System V Message Passing
Bogo Ops/s > Higher Is Better
a . 7616183.78 |===============================================================
b . 7408445.43 |=============================================================
spaCy 3.4.1
Model: en_core_web_lg
tokens/sec > Higher Is Better
a . 6798 |=====================================================================
b . 6795 |=====================================================================
spaCy 3.4.1
Model: en_core_web_trf
tokens/sec > Higher Is Better
a . 701 |======================================================================
b . 685 |====================================================================
Mobile Neural Network 2.1
Model: nasnet
ms < Lower Is Better
a . 42.87 |====================================================================
b . 40.34 |================================================================
Mobile Neural Network 2.1
Model: mobilenetV3
ms < Lower Is Better
a . 5.475 |====================================================================
b . 5.350 |==================================================================
Mobile Neural Network 2.1
Model: squeezenetv1.1
ms < Lower Is Better
a . 10.63 |====================================================================
b . 10.15 |=================================================================
Mobile Neural Network 2.1
Model: resnet-v2-50
ms < Lower Is Better
a . 50.82 |====================================================================
b . 47.12 |===============================================================
Mobile Neural Network 2.1
Model: SqueezeNetV1.0
ms < Lower Is Better
a . 15.68 |====================================================================
b . 15.01 |=================================================================
Mobile Neural Network 2.1
Model: MobileNetV2_224
ms < Lower Is Better
a . 9.862 |===================================================================
b . 9.957 |====================================================================
Mobile Neural Network 2.1
Model: mobilenet-v1-1.0
ms < Lower Is Better
a . 7.677 |====================================================================
b . 7.386 |=================================================================
Mobile Neural Network 2.1
Model: inception-v3
ms < Lower Is Better
a . 56.23 |====================================================================
b . 56.10 |====================================================================
NCNN 20220729
Target: CPU - Model: mobilenet
ms < Lower Is Better
a . 70.65 |==========================================================
b . 82.64 |====================================================================
NCNN 20220729
Target: CPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
a . 74.59 |====================================================================
b . 48.21 |============================================
NCNN 20220729
Target: CPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
a . 45.30 |=====================================================
b . 58.67 |====================================================================
NCNN 20220729
Target: CPU - Model: shufflenet-v2
ms < Lower Is Better
a . 64.00 |====================================================================
b . 43.74 |==============================================
NCNN 20220729
Target: CPU - Model: mnasnet
ms < Lower Is Better
a . 51.66 |====================================================================
b . 41.96 |=======================================================
NCNN 20220729
Target: CPU - Model: efficientnet-b0
ms < Lower Is Better
a . 55.09 |==================================================================
b . 56.92 |====================================================================
NCNN 20220729
Target: CPU - Model: blazeface
ms < Lower Is Better
a . 42.63 |====================================================================
b . 31.18 |==================================================
NCNN 20220729
Target: CPU - Model: googlenet
ms < Lower Is Better
a . 111.20 |===================================================================
b . 100.95 |=============================================================
NCNN 20220729
Target: CPU - Model: vgg16
ms < Lower Is Better
a . 139.33 |===================================================================
b . 123.73 |===========================================================
NCNN 20220729
Target: CPU - Model: resnet18
ms < Lower Is Better
a . 81.24 |====================================================================
b . 63.20 |=====================================================
NCNN 20220729
Target: CPU - Model: alexnet
ms < Lower Is Better
a . 65.60 |====================================================================
b . 53.71 |========================================================
NCNN 20220729
Target: CPU - Model: resnet50
ms < Lower Is Better
a . 178.31 |===================================================================
b . 110.59 |==========================================
NCNN 20220729
Target: CPU - Model: yolov4-tiny
ms < Lower Is Better
a . 75.13 |=================================================================
b . 78.03 |====================================================================
NCNN 20220729
Target: CPU - Model: squeezenet_ssd
ms < Lower Is Better
a . 100.38 |===================================================================
b . 94.37 |===============================================================
NCNN 20220729
Target: CPU - Model: regnety_400m
ms < Lower Is Better
a . 286.78 |===================================================================
b . 208.14 |=================================================
NCNN 20220729
Target: CPU - Model: vision_transformer
ms < Lower Is Better
a . 319.23 |===================================================================
b . 298.72 |===============================================================
NCNN 20220729
Target: CPU - Model: FastestDet
ms < Lower Is Better
a . 76.99 |====================================================================
b . 51.75 |==============================================
Blender 3.3
Blend File: BMW27 - Compute: CPU-Only
Seconds < Lower Is Better
a . 35.50 |====================================================================
b . 35.62 |====================================================================
Blender 3.3
Blend File: Classroom - Compute: CPU-Only
Seconds < Lower Is Better
a . 87.25 |====================================================================
b . 87.77 |====================================================================
Blender 3.3
Blend File: Fishy Cat - Compute: CPU-Only
Seconds < Lower Is Better
a . 51.46 |====================================================================
b . 51.66 |====================================================================
Blender 3.3
Blend File: Barbershop - Compute: CPU-Only
Seconds < Lower Is Better
a . 409.74 |===================================================================
b . 408.93 |===================================================================
Blender 3.3
Blend File: Pabellon Barcelona - Compute: CPU-Only
Seconds < Lower Is Better
a . 126.81 |===================================================================
b . 126.75 |===================================================================
OpenVINO 2022.2.dev
Model: Face Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 5.85 |=====================================================================
b . 5.82 |=====================================================================
OpenVINO 2022.2.dev
Model: Face Detection FP16 - Device: CPU
ms < Lower Is Better
a . 5452.5 |===================================================================
b . 5492.0 |===================================================================
OpenVINO 2022.2.dev
Model: Person Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 3.90 |=====================================================================
b . 3.89 |=====================================================================
OpenVINO 2022.2.dev
Model: Person Detection FP16 - Device: CPU
ms < Lower Is Better
a . 8087.11 |=================================================================
b . 8150.20 |==================================================================
OpenVINO 2022.2.dev
Model: Person Detection FP32 - Device: CPU
FPS > Higher Is Better
a . 3.85 |====================================================================
b . 3.89 |=====================================================================
OpenVINO 2022.2.dev
Model: Person Detection FP32 - Device: CPU
ms < Lower Is Better
a . 8245.26 |==================================================================
b . 8119.63 |=================================================================
OpenVINO 2022.2.dev
Model: Vehicle Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 352.62 |===================================================================
b . 351.60 |===================================================================
OpenVINO 2022.2.dev
Model: Vehicle Detection FP16 - Device: CPU
ms < Lower Is Better
a . 90.64 |====================================================================
b . 90.91 |====================================================================
OpenVINO 2022.2.dev
Model: Face Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 7.61 |=====================================================================
b . 7.61 |=====================================================================
OpenVINO 2022.2.dev
Model: Face Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 4182.46 |==================================================================
b . 4185.20 |==================================================================
OpenVINO 2022.2.dev
Model: Vehicle Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 614.56 |===================================================================
b . 613.31 |===================================================================
OpenVINO 2022.2.dev
Model: Vehicle Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 52.03 |====================================================================
b . 52.14 |====================================================================
OpenVINO 2022.2.dev
Model: Weld Porosity Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 626.61 |===================================================================
b . 626.42 |===================================================================
OpenVINO 2022.2.dev
Model: Weld Porosity Detection FP16 - Device: CPU
ms < Lower Is Better
a . 51.03 |====================================================================
b . 51.04 |====================================================================
OpenVINO 2022.2.dev
Model: Machine Translation EN To DE FP16 - Device: CPU
FPS > Higher Is Better
a . 59.76 |==================================================================
b . 61.27 |====================================================================
OpenVINO 2022.2.dev
Model: Machine Translation EN To DE FP16 - Device: CPU
ms < Lower Is Better
a . 533.65 |===================================================================
b . 520.79 |=================================================================
OpenVINO 2022.2.dev
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 751.84 |===================================================================
b . 751.30 |===================================================================
OpenVINO 2022.2.dev
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 85.05 |====================================================================
b . 85.09 |====================================================================
OpenVINO 2022.2.dev
Model: Person Vehicle Bike Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 513.24 |===================================================================
b . 508.70 |==================================================================
OpenVINO 2022.2.dev
Model: Person Vehicle Bike Detection FP16 - Device: CPU
ms < Lower Is Better
a . 62.29 |===================================================================
b . 62.84 |====================================================================
OpenVINO 2022.2.dev
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
FPS > Higher Is Better
a . 16068.58 |=================================================================
b . 16149.43 |=================================================================
OpenVINO 2022.2.dev
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
ms < Lower Is Better
a . 3.94 |=====================================================================
b . 3.92 |=====================================================================
OpenVINO 2022.2.dev
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 19469.80 |=================================================================
b . 19580.12 |=================================================================
OpenVINO 2022.2.dev
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 3.26 |=====================================================================
b . 3.24 |=====================================================================
Facebook RocksDB 7.5.3
Test: Random Read
Op/s > Higher Is Better
a . 198794977 |================================================================
b . 196826975 |===============================================================
Facebook RocksDB 7.5.3
Test: Update Random
Op/s > Higher Is Better
a . 199394 |===================================================================
b . 198198 |===================================================================
Facebook RocksDB 7.5.3
Test: Read While Writing
Op/s > Higher Is Better
a . 5807440 |==============================================================
b . 6220606 |==================================================================
Facebook RocksDB 7.5.3
Test: Read Random Write Random
Op/s > Higher Is Better
a . 1551427 |==================================================================
b . 1558868 |==================================================================
nginx 1.23.2
Connections: 1
Requests Per Second > Higher Is Better
nginx 1.23.2
Connections: 20
Requests Per Second > Higher Is Better
nginx 1.23.2
Connections: 100
Requests Per Second > Higher Is Better
nginx 1.23.2
Connections: 200
Requests Per Second > Higher Is Better
a . 100112.06 |===============================================================
b . 101709.29 |================================================================
nginx 1.23.2
Connections: 500
Requests Per Second > Higher Is Better
a . 99535.87 |=================================================================
b . 98639.62 |================================================================
nginx 1.23.2
Connections: 1000
Requests Per Second > Higher Is Better
a . 96265.52 |=================================================================
b . 95346.38 |================================================================
nginx 1.23.2
Connections: 4000
Requests Per Second > Higher Is Better
Natron 2.4.3
Input: Spaceship
FPS > Higher Is Better
a . 3.5 |====================================================================
b . 3.6 |======================================================================
AI Benchmark Alpha 0.1.2
Device Inference Score
Score > Higher Is Better
a . 1245 |=====================================================================
b . 1232 |====================================================================
AI Benchmark Alpha 0.1.2
Device Training Score
Score > Higher Is Better
a . 764 |======================================================================
b . 760 |======================================================================
AI Benchmark Alpha 0.1.2
Device AI Score
Score > Higher Is Better
a . 2009 |=====================================================================
b . 1992 |====================================================================
EnCodec 0.1.1
Target Bandwidth: 3 kbps
Seconds < Lower Is Better
a . 66.47 |==================================================================
b . 68.29 |====================================================================
EnCodec 0.1.1
Target Bandwidth: 6 kbps
Seconds < Lower Is Better
a . 74.54 |====================================================================
b . 74.89 |====================================================================
EnCodec 0.1.1
Target Bandwidth: 24 kbps
Seconds < Lower Is Better
a . 78.46 |==================================================================
b . 81.17 |====================================================================
EnCodec 0.1.1
Target Bandwidth: 1.5 kbps
Seconds < Lower Is Better
a . 67.59 |=============================================================
b . 75.04 |====================================================================
BRL-CAD 7.32.6
VGR Performance Metric
VGR Performance Metric > Higher Is Better
a . 413004 |===================================================================
b . 406201 |==================================================================