Intel Core i5-12600K testing with a ASUS PRIME Z690-P WIFI D4 (0605 BIOS) and ASUS Intel ADL-S GT1 15GB 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 2302147-PTS-12600K2062
12600k 2023 intel alder lake
Intel Core i5-12600K testing with a ASUS PRIME Z690-P WIFI D4 (0605 BIOS) and ASUS Intel ADL-S GT1 15GB on Ubuntu 22.04 via the Phoronix Test Suite.
a:
Processor: Intel Core i5-12600K @ 6.30GHz (10 Cores / 16 Threads), Motherboard: ASUS PRIME Z690-P WIFI D4 (0605 BIOS), Chipset: Intel Device 7aa7, Memory: 16GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: ASUS Intel ADL-S GT1 15GB (1450MHz), Audio: Realtek ALC897, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel Device 7af0
OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc6daily20220716-generic (x86_64), Desktop: GNOME Shell 42.1, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.2.204, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 3840x2160
b:
Processor: Intel Core i5-12600K @ 6.30GHz (10 Cores / 16 Threads), Motherboard: ASUS PRIME Z690-P WIFI D4 (0605 BIOS), Chipset: Intel Device 7aa7, Memory: 16GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: ASUS Intel ADL-S GT1 15GB (1450MHz), Audio: Realtek ALC897, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel Device 7af0
OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc6daily20220716-generic (x86_64), Desktop: GNOME Shell 42.1, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.2.204, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 3840x2160
c:
Processor: Intel Core i5-12600K @ 6.30GHz (10 Cores / 16 Threads), Motherboard: ASUS PRIME Z690-P WIFI D4 (0605 BIOS), Chipset: Intel Device 7aa7, Memory: 16GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: ASUS Intel ADL-S GT1 15GB (1450MHz), Audio: Realtek ALC897, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel Device 7af0
OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc6daily20220716-generic (x86_64), Desktop: GNOME Shell 42.1, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.2.204, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 3840x2160
ET: Legacy 2.81
Resolution: 1920 x 1080
Frames Per Second > Higher Is Better
a . 150.3 |==================================================================
b . 153.6 |====================================================================
c . 154.2 |====================================================================
ET: Legacy 2.81
Resolution: 1920 x 1200
Frames Per Second > Higher Is Better
a . 138.2 |====================================================================
b . 138.4 |====================================================================
c . 138.5 |====================================================================
ET: Legacy 2.81
Resolution: 2560 x 1440
Frames Per Second > Higher Is Better
a . 86.6 |=====================================================================
b . 86.5 |=====================================================================
c . 86.0 |=====================================================================
ET: Legacy 2.81
Resolution: 3840 x 2160
Frames Per Second > Higher Is Better
a . 38.7 |=====================================================================
b . 38.7 |=====================================================================
c . 38.7 |=====================================================================
FluidX3D 2.3
Test: FP32-FP32
MLUPs/s > Higher Is Better
a . 312 |======================================================================
b . 312 |======================================================================
c . 312 |======================================================================
FluidX3D 2.3
Test: FP32-FP16C
MLUPs/s > Higher Is Better
a . 294 |======================================================================
b . 294 |======================================================================
c . 294 |======================================================================
FluidX3D 2.3
Test: FP32-FP16S
MLUPs/s > Higher Is Better
a . 508 |======================================================================
b . 498 |=====================================================================
c . 499 |=====================================================================
Zstd Compression 1.5.4
Compression Level: 3 - Compression Speed
MB/s > Higher Is Better
a . 1873.1 |===================================================================
b . 1869.4 |===================================================================
c . 1844.8 |==================================================================
Zstd Compression 1.5.4
Compression Level: 3 - Decompression Speed
MB/s > Higher Is Better
a . 1936.3 |===================================================================
b . 1918.1 |==================================================================
c . 1921.9 |===================================================================
Zstd Compression 1.5.4
Compression Level: 8 - Compression Speed
MB/s > Higher Is Better
a . 220.8 |==================================================================
b . 225.8 |====================================================================
c . 225.4 |====================================================================
Zstd Compression 1.5.4
Compression Level: 8 - Decompression Speed
MB/s > Higher Is Better
a . 2079.9 |===================================================================
b . 2061.3 |==================================================================
c . 2064.4 |===================================================================
Zstd Compression 1.5.4
Compression Level: 12 - Compression Speed
MB/s > Higher Is Better
a . 97.0 |=====================================================================
b . 95.9 |====================================================================
c . 96.5 |=====================================================================
Zstd Compression 1.5.4
Compression Level: 12 - Decompression Speed
MB/s > Higher Is Better
a . 2036.5 |==================================================================
b . 2065.7 |===================================================================
c . 2069.1 |===================================================================
Zstd Compression 1.5.4
Compression Level: 19 - Compression Speed
MB/s > Higher Is Better
a . 15.8 |=====================================================================
b . 15.8 |=====================================================================
c . 15.8 |=====================================================================
Zstd Compression 1.5.4
Compression Level: 19 - Decompression Speed
MB/s > Higher Is Better
a . 1809.4 |===================================================================
b . 1814.0 |===================================================================
c . 1817.2 |===================================================================
Zstd Compression 1.5.4
Compression Level: 3, Long Mode - Compression Speed
MB/s > Higher Is Better
a . 972.3 |====================================================================
b . 950.0 |==================================================================
c . 977.3 |====================================================================
Zstd Compression 1.5.4
Compression Level: 3, Long Mode - Decompression Speed
MB/s > Higher Is Better
a . 1956.6 |===================================================================
b . 1952.3 |===================================================================
c . 1953.8 |===================================================================
Zstd Compression 1.5.4
Compression Level: 8, Long Mode - Compression Speed
MB/s > Higher Is Better
a . 221.2 |====================================================================
b . 221.1 |====================================================================
c . 221.7 |====================================================================
Zstd Compression 1.5.4
Compression Level: 8, Long Mode - Decompression Speed
MB/s > Higher Is Better
a . 2065.8 |===================================================================
b . 2070.4 |===================================================================
c . 2070.2 |===================================================================
Zstd Compression 1.5.4
Compression Level: 19, Long Mode - Compression Speed
MB/s > Higher Is Better
a . 9.20 |=====================================================================
b . 9.21 |=====================================================================
c . 9.22 |=====================================================================
Zstd Compression 1.5.4
Compression Level: 19, Long Mode - Decompression Speed
MB/s > Higher Is Better
a . 1728.1 |===================================================================
b . 1720.7 |===================================================================
c . 1729.0 |===================================================================
AOM AV1 3.6
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 0.24 |=====================================================================
b . 0.24 |=====================================================================
c . 0.24 |=====================================================================
AOM AV1 3.6
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 7.23 |=====================================================================
b . 7.26 |=====================================================================
c . 7.25 |=====================================================================
AOM AV1 3.6
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 70.59 |=================================================================
b . 72.39 |===================================================================
c . 73.29 |====================================================================
AOM AV1 3.6
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 12.61 |===================================================================
b . 12.72 |====================================================================
c . 12.70 |====================================================================
AOM AV1 3.6
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 61.03 |==================================================================
b . 56.44 |=============================================================
c . 63.33 |====================================================================
AOM AV1 3.6
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 74.26 |===============================================================
b . 78.40 |===================================================================
c . 79.72 |====================================================================
AOM AV1 3.6
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 67.61 |==========================================================
b . 79.57 |====================================================================
c . 79.17 |====================================================================
AOM AV1 3.6
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 0.71 |=====================================================================
b . 0.71 |=====================================================================
c . 0.71 |=====================================================================
AOM AV1 3.6
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 17.35 |===================================================================
b . 17.56 |====================================================================
c . 17.57 |====================================================================
AOM AV1 3.6
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 136.63 |========================================================
b . 140.24 |=========================================================
c . 163.64 |===================================================================
AOM AV1 3.6
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 41.27 |====================================================================
b . 41.47 |====================================================================
c . 41.32 |====================================================================
AOM AV1 3.6
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 164.98 |===================================================================
b . 163.82 |===================================================================
c . 149.70 |=============================================================
AOM AV1 3.6
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 161.35 |==================================================================
b . 163.60 |===================================================================
c . 161.69 |==================================================================
AOM AV1 3.6
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 166.34 |=================================================================
b . 172.61 |===================================================================
c . 169.95 |==================================================================
Embree 4.0
Binary: Pathtracer - Model: Crown
Frames Per Second > Higher Is Better
a . 12.49 |===================================================================
b . 12.68 |====================================================================
c . 12.76 |====================================================================
Embree 4.0
Binary: Pathtracer ISPC - Model: Crown
Frames Per Second > Higher Is Better
a . 13.69 |===================================================================
b . 13.89 |====================================================================
c . 13.87 |====================================================================
Embree 4.0
Binary: Pathtracer - Model: Asian Dragon
Frames Per Second > Higher Is Better
a . 14.77 |====================================================================
b . 14.54 |===================================================================
c . 14.77 |====================================================================
Embree 4.0
Binary: Pathtracer - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
a . 13.37 |===================================================================
b . 13.49 |====================================================================
c . 13.40 |====================================================================
Embree 4.0
Binary: Pathtracer ISPC - Model: Asian Dragon
Frames Per Second > Higher Is Better
a . 17.00 |===================================================================
b . 17.17 |====================================================================
c . 17.03 |===================================================================
Embree 4.0
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
a . 14.86 |====================================================================
b . 14.88 |====================================================================
c . 14.84 |====================================================================
Kvazaar 2.2
Video Input: Bosphorus 4K - Video Preset: Slow
Frames Per Second > Higher Is Better
a . 9.57 |=====================================================================
b . 9.59 |=====================================================================
c . 9.59 |=====================================================================
Kvazaar 2.2
Video Input: Bosphorus 4K - Video Preset: Medium
Frames Per Second > Higher Is Better
a . 9.85 |=====================================================================
b . 9.87 |=====================================================================
c . 9.87 |=====================================================================
Kvazaar 2.2
Video Input: Bosphorus 1080p - Video Preset: Slow
Frames Per Second > Higher Is Better
a . 47.65 |====================================================================
b . 47.58 |====================================================================
c . 47.71 |====================================================================
Kvazaar 2.2
Video Input: Bosphorus 1080p - Video Preset: Medium
Frames Per Second > Higher Is Better
a . 49.71 |====================================================================
b . 49.53 |====================================================================
c . 49.36 |====================================================================
Kvazaar 2.2
Video Input: Bosphorus 4K - Video Preset: Very Fast
Frames Per Second > Higher Is Better
a . 24.45 |====================================================================
b . 24.43 |====================================================================
c . 24.47 |====================================================================
Kvazaar 2.2
Video Input: Bosphorus 4K - Video Preset: Super Fast
Frames Per Second > Higher Is Better
a . 30.40 |====================================================================
b . 30.48 |====================================================================
c . 30.50 |====================================================================
Kvazaar 2.2
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
Frames Per Second > Higher Is Better
a . 41.39 |====================================================================
b . 41.50 |====================================================================
c . 41.64 |====================================================================
Kvazaar 2.2
Video Input: Bosphorus 1080p - Video Preset: Very Fast
Frames Per Second > Higher Is Better
a . 99.79 |==================================================================
b . 100.63 |===================================================================
c . 100.60 |===================================================================
Kvazaar 2.2
Video Input: Bosphorus 1080p - Video Preset: Super Fast
Frames Per Second > Higher Is Better
a . 129.89 |===================================================================
b . 130.22 |===================================================================
c . 129.44 |===================================================================
Kvazaar 2.2
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
Frames Per Second > Higher Is Better
a . 175.08 |==================================================================
b . 177.32 |===================================================================
c . 176.51 |===================================================================
SVT-AV1 1.4
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 3.104 |====================================================================
b . 3.107 |====================================================================
c . 3.101 |====================================================================
SVT-AV1 1.4
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 39.82 |====================================================================
b . 39.82 |====================================================================
c . 39.93 |====================================================================
SVT-AV1 1.4
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 114.11 |================================================================
b . 119.15 |===================================================================
c . 117.34 |==================================================================
SVT-AV1 1.4
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 130.63 |================================================================
b . 135.92 |===================================================================
c . 135.24 |===================================================================
SVT-AV1 1.4
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 9.676 |==================================================================
b . 9.685 |==================================================================
c . 9.910 |====================================================================
SVT-AV1 1.4
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 110.06 |==================================================================
b . 111.08 |===================================================================
c . 111.57 |===================================================================
SVT-AV1 1.4
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 470.00 |=================================================================
b . 482.18 |===================================================================
c . 483.26 |===================================================================
SVT-AV1 1.4
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 521.73 |===================================================================
b . 520.74 |===================================================================
c . 517.39 |==================================================================
uvg266 0.4.1
Video Input: Bosphorus 4K - Video Preset: Slow
Frames Per Second > Higher Is Better
a . 6.17 |=====================================================================
b . 6.17 |=====================================================================
c . 6.18 |=====================================================================
uvg266 0.4.1
Video Input: Bosphorus 4K - Video Preset: Medium
Frames Per Second > Higher Is Better
a . 6.97 |=====================================================================
b . 6.98 |=====================================================================
c . 6.97 |=====================================================================
uvg266 0.4.1
Video Input: Bosphorus 1080p - Video Preset: Slow
Frames Per Second > Higher Is Better
a . 32.35 |====================================================================
b . 32.58 |====================================================================
c . 32.42 |====================================================================
uvg266 0.4.1
Video Input: Bosphorus 1080p - Video Preset: Medium
Frames Per Second > Higher Is Better
a . 36.13 |====================================================================
b . 36.22 |====================================================================
c . 36.09 |====================================================================
uvg266 0.4.1
Video Input: Bosphorus 4K - Video Preset: Very Fast
Frames Per Second > Higher Is Better
a . 20.27 |====================================================================
b . 20.26 |====================================================================
c . 20.27 |====================================================================
uvg266 0.4.1
Video Input: Bosphorus 4K - Video Preset: Super Fast
Frames Per Second > Higher Is Better
a . 21.32 |====================================================================
b . 21.30 |====================================================================
c . 21.29 |====================================================================
uvg266 0.4.1
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
Frames Per Second > Higher Is Better
a . 25.88 |====================================================================
b . 25.87 |====================================================================
c . 25.91 |====================================================================
uvg266 0.4.1
Video Input: Bosphorus 1080p - Video Preset: Very Fast
Frames Per Second > Higher Is Better
a . 90.14 |====================================================================
b . 90.19 |====================================================================
c . 90.15 |====================================================================
uvg266 0.4.1
Video Input: Bosphorus 1080p - Video Preset: Super Fast
Frames Per Second > Higher Is Better
a . 96.61 |====================================================================
b . 96.43 |====================================================================
c . 96.83 |====================================================================
uvg266 0.4.1
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
Frames Per Second > Higher Is Better
a . 116.91 |===================================================================
b . 117.05 |===================================================================
c . 117.58 |===================================================================
VVenC 1.7
Video Input: Bosphorus 4K - Video Preset: Fast
Frames Per Second > Higher Is Better
a . 3.835 |====================================================================
b . 3.826 |====================================================================
c . 3.816 |====================================================================
VVenC 1.7
Video Input: Bosphorus 4K - Video Preset: Faster
Frames Per Second > Higher Is Better
a . 8.133 |===================================================================
b . 8.227 |====================================================================
c . 8.165 |===================================================================
VVenC 1.7
Video Input: Bosphorus 1080p - Video Preset: Fast
Frames Per Second > Higher Is Better
a . 10.34 |====================================================================
b . 10.30 |====================================================================
c . 10.32 |====================================================================
VVenC 1.7
Video Input: Bosphorus 1080p - Video Preset: Faster
Frames Per Second > Higher Is Better
a . 25.03 |====================================================================
b . 24.79 |===================================================================
c . 24.90 |====================================================================
OpenVKL 1.3.1
Benchmark: vklBenchmark ISPC
Items / Sec > Higher Is Better
a . 176 |======================================================================
b . 176 |======================================================================
c . 175 |======================================================================
OpenVKL 1.3.1
Benchmark: vklBenchmark Scalar
Items / Sec > Higher Is Better
a . 98 |=======================================================================
b . 98 |=======================================================================
c . 98 |=======================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 44100 - Buffer Size: 512
Render Ratio > Higher Is Better
a . 3.908665 |================================================================
b . 3.945383 |=================================================================
c . 3.950512 |=================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 96000 - Buffer Size: 512
Render Ratio > Higher Is Better
a . 2.709695 |================================================================
b . 2.739379 |=================================================================
c . 2.731158 |=================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 192000 - Buffer Size: 512
Render Ratio > Higher Is Better
a . 1.715890 |================================================================
b . 1.754839 |=================================================================
c . 1.749982 |=================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 44100 - Buffer Size: 1024
Render Ratio > Higher Is Better
a . 4.323681 |=================================================================
b . 4.322518 |=================================================================
c . 4.325328 |=================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 480000 - Buffer Size: 512
Render Ratio > Higher Is Better
a . 3.889646 |=================================================================
b . 3.880546 |=================================================================
c . 3.875918 |=================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 96000 - Buffer Size: 1024
Render Ratio > Higher Is Better
a . 3.149404 |=================================================================
b . 3.149566 |=================================================================
c . 3.143371 |=================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 192000 - Buffer Size: 1024
Render Ratio > Higher Is Better
a . 2.078800 |=================================================================
b . 2.078314 |=================================================================
c . 2.078110 |=================================================================
Stargate Digital Audio Workstation 22.11.5
Sample Rate: 480000 - Buffer Size: 1024
Render Ratio > Higher Is Better
a . 4.314579 |=================================================================
b . 4.305519 |=================================================================
c . 4.303267 |=================================================================
Timed Linux Kernel Compilation 6.1
Build: defconfig
Seconds < Lower Is Better
a . 83.01 |====================================================================
b . 83.07 |====================================================================
c . 82.70 |====================================================================
Timed Linux Kernel Compilation 6.1
Build: allmodconfig
Seconds < Lower Is Better
a . 1062.29 |==================================================================
b . 1062.78 |==================================================================
c . 1062.87 |==================================================================
oneDNN 3.0
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 3.90670 |==================================================================
b . 3.89382 |==================================================================
c . 3.91022 |==================================================================
oneDNN 3.0
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 10.73 |====================================================================
b . 10.70 |====================================================================
c . 10.73 |====================================================================
oneDNN 3.0
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 1.46294 |=================================================================
b . 1.46343 |=================================================================
c . 1.48795 |==================================================================
oneDNN 3.0
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 2.30066 |==================================================================
b . 2.28589 |==================================================================
c . 2.28705 |==================================================================
oneDNN 3.0
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.0
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.0
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 14.45 |====================================================================
b . 14.46 |====================================================================
c . 14.48 |====================================================================
oneDNN 3.0
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 9.91932 |==================================================================
b . 9.47685 |===============================================================
c . 9.46418 |===============================================================
oneDNN 3.0
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 8.00328 |==================================================================
b . 7.99647 |==================================================================
c . 7.99461 |==================================================================
oneDNN 3.0
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 12.55 |====================================================================
b . 12.48 |===================================================================
c . 12.58 |====================================================================
oneDNN 3.0
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 2.09006 |==================================================================
b . 2.08938 |==================================================================
c . 2.09892 |==================================================================
oneDNN 3.0
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 2.97547 |==================================================================
b . 2.98663 |==================================================================
c . 2.97941 |==================================================================
oneDNN 3.0
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 4396.69 |==================================================================
b . 4403.60 |==================================================================
c . 4406.49 |==================================================================
oneDNN 3.0
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 2161.41 |==================================================================
b . 2163.06 |==================================================================
c . 2160.62 |==================================================================
oneDNN 3.0
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 4401.46 |==================================================================
b . 4398.13 |==================================================================
c . 4402.72 |==================================================================
oneDNN 3.0
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.0
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.0
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.0
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 2159.93 |==================================================================
b . 2160.83 |==================================================================
c . 2158.91 |==================================================================
oneDNN 3.0
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 2.70187 |==================================================================
b . 2.68101 |=================================================================
c . 2.71814 |==================================================================
oneDNN 3.0
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 4404.20 |==================================================================
b . 4396.82 |==================================================================
c . 4397.11 |==================================================================
oneDNN 3.0
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 2162.76 |==================================================================
b . 2163.54 |==================================================================
c . 2162.36 |==================================================================
oneDNN 3.0
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 1.086640 |=================================================================
b . 0.990775 |===========================================================
c . 0.984883 |===========================================================
oneDNN 3.0
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
ClickHouse 22.12.3.5
100M Rows Hits Dataset, First Run / Cold Cache
Queries Per Minute, Geo Mean > Higher Is Better
a . 153.25 |===================================================================
b . 152.82 |===================================================================
c . 150.99 |==================================================================
ClickHouse 22.12.3.5
100M Rows Hits Dataset, Second Run
Queries Per Minute, Geo Mean > Higher Is Better
a . 171.51 |===================================================================
b . 172.35 |===================================================================
c . 163.56 |================================================================
ClickHouse 22.12.3.5
100M Rows Hits Dataset, Third Run
Queries Per Minute, Geo Mean > Higher Is Better
a . 170.82 |==================================================================
b . 172.43 |===================================================================
c . 171.84 |===================================================================
CockroachDB 22.2
Workload: MoVR - Concurrency: 128
ops/s > Higher Is Better
a . 412.1 |====================================================================
b . 407.7 |===================================================================
c . 412.4 |====================================================================
CockroachDB 22.2
Workload: KV, 10% Reads - Concurrency: 128
ops/s > Higher Is Better
a . 44237.1 |==================================================================
b . 44047.1 |==================================================================
c . 43929.4 |==================================================================
CockroachDB 22.2
Workload: KV, 50% Reads - Concurrency: 128
ops/s > Higher Is Better
a . 53622.6 |==================================================================
b . 53329.2 |==================================================================
c . 53689.5 |==================================================================
CockroachDB 22.2
Workload: KV, 60% Reads - Concurrency: 128
ops/s > Higher Is Better
a . 56929.9 |==================================================================
b . 56545.9 |==================================================================
c . 56896.1 |==================================================================
CockroachDB 22.2
Workload: KV, 95% Reads - Concurrency: 128
ops/s > Higher Is Better
a . 73875.4 |==================================================================
b . 73935.7 |==================================================================
c . 73700.7 |==================================================================
GROMACS 2023
Implementation: MPI CPU - Input: water_GMX50_bare
Ns Per Day > Higher Is Better
a . 0.975 |====================================================================
b . 0.978 |====================================================================
c . 0.960 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 7.8994 |===================================================================
b . 7.8807 |===================================================================
c . 7.8890 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 623.58 |===================================================================
b . 624.21 |===================================================================
c . 623.70 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 7.2945 |===================================================================
b . 7.2801 |===================================================================
c . 7.2999 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 137.08 |===================================================================
b . 137.36 |===================================================================
c . 136.98 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 103.78 |===================================================================
b . 103.12 |===================================================================
c . 103.80 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 48.16 |====================================================================
b . 48.40 |====================================================================
c . 48.12 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 60.64 |====================================================================
b . 59.55 |===================================================================
c . 59.22 |==================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 16.48 |==================================================================
b . 16.79 |====================================================================
c . 16.88 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 30.45 |===================================================================
b . 30.44 |===================================================================
c . 30.82 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 164.18 |===================================================================
b . 163.85 |===================================================================
c . 162.14 |==================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 20.42 |===================================================================
b . 20.49 |===================================================================
c . 20.71 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 48.96 |====================================================================
b . 48.81 |====================================================================
c . 48.28 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 49.09 |====================================================================
b . 47.02 |=================================================================
c . 48.61 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 101.79 |================================================================
b . 106.23 |===================================================================
c . 102.66 |=================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 39.65 |====================================================================
b . 39.48 |====================================================================
c . 39.72 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 25.21 |====================================================================
b . 25.32 |====================================================================
c . 25.17 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 105.94 |===================================================================
b . 102.00 |=================================================================
c . 105.53 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 47.17 |==================================================================
b . 48.96 |====================================================================
c . 47.34 |==================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 73.64 |====================================================================
b . 73.69 |====================================================================
c . 73.29 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 13.58 |====================================================================
b . 13.57 |====================================================================
c . 13.64 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 64.54 |===================================================================
b . 65.32 |====================================================================
c . 64.51 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 77.29 |====================================================================
b . 76.49 |===================================================================
c . 77.49 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 53.64 |====================================================================
b . 53.69 |====================================================================
c . 53.65 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 18.64 |====================================================================
b . 18.62 |====================================================================
c . 18.64 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 11.01 |===================================================================
b . 11.12 |====================================================================
c . 11.08 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 446.00 |===================================================================
b . 442.78 |===================================================================
c . 444.21 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 10.28 |===================================================================
b . 10.45 |====================================================================
c . 10.27 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 97.30 |====================================================================
b . 95.71 |===================================================================
c . 97.35 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 32.90 |====================================================================
b . 32.70 |====================================================================
c . 32.39 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 151.81 |==================================================================
b . 152.82 |==================================================================
c . 154.08 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 27.77 |====================================================================
b . 27.44 |===================================================================
c . 27.19 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 36.00 |===================================================================
b . 36.44 |===================================================================
c . 36.78 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 7.8816 |===================================================================
b . 7.8447 |===================================================================
c . 7.8521 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 624.39 |===================================================================
b . 625.84 |===================================================================
c . 626.60 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 7.2603 |===================================================================
b . 7.2133 |===================================================================
c . 7.2317 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 137.73 |===================================================================
b . 138.63 |===================================================================
c . 138.28 |===================================================================
Blender 3.4
Blend File: BMW27 - Compute: CPU-Only
Seconds < Lower Is Better
a . 108.75 |===================================================================
b . 108.73 |===================================================================
c . 109.01 |===================================================================
Blender 3.4
Blend File: Classroom - Compute: CPU-Only
Seconds < Lower Is Better
a . 317.65 |===================================================================
b . 318.41 |===================================================================
c . 319.49 |===================================================================
Blender 3.4
Blend File: Fishy Cat - Compute: CPU-Only
Seconds < Lower Is Better
a . 157.62 |===================================================================
b . 158.09 |===================================================================
c . 157.90 |===================================================================
Blender 3.4
Blend File: Barbershop - Compute: CPU-Only
Seconds < Lower Is Better
a . 1253.26 |==================================================================
b . 1247.27 |==================================================================
c . 1247.42 |==================================================================
Blender 3.4
Blend File: Pabellon Barcelona - Compute: CPU-Only
Seconds < Lower Is Better
a . 383.98 |===================================================================
b . 383.36 |===================================================================
c . 383.83 |===================================================================
OpenVINO 2022.3
Model: Face Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 2.67 |=====================================================================
b . 2.67 |=====================================================================
c . 2.67 |=====================================================================
OpenVINO 2022.3
Model: Face Detection FP16 - Device: CPU
ms < Lower Is Better
a . 1494.59 |==================================================================
b . 1496.41 |==================================================================
c . 1492.29 |==================================================================
OpenVINO 2022.3
Model: Person Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 1.75 |=====================================================================
b . 1.75 |=====================================================================
c . 1.75 |=====================================================================
OpenVINO 2022.3
Model: Person Detection FP16 - Device: CPU
ms < Lower Is Better
a . 2255.62 |==================================================================
b . 2253.25 |==================================================================
c . 2251.89 |==================================================================
OpenVINO 2022.3
Model: Person Detection FP32 - Device: CPU
FPS > Higher Is Better
a . 1.74 |=====================================================================
b . 1.75 |=====================================================================
c . 1.75 |=====================================================================
OpenVINO 2022.3
Model: Person Detection FP32 - Device: CPU
ms < Lower Is Better
a . 2256.65 |==================================================================
b . 2253.13 |==================================================================
c . 2251.10 |==================================================================
OpenVINO 2022.3
Model: Vehicle Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 202.76 |==================================================================
b . 204.69 |===================================================================
c . 204.06 |===================================================================
OpenVINO 2022.3
Model: Vehicle Detection FP16 - Device: CPU
ms < Lower Is Better
a . 19.71 |====================================================================
b . 19.53 |===================================================================
c . 19.58 |====================================================================
OpenVINO 2022.3
Model: Face Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 10.01 |====================================================================
b . 10.00 |====================================================================
c . 10.01 |====================================================================
OpenVINO 2022.3
Model: Face Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 398.58 |===================================================================
b . 398.69 |===================================================================
c . 398.56 |===================================================================
OpenVINO 2022.3
Model: Vehicle Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 482.44 |===================================================================
b . 482.26 |===================================================================
c . 482.51 |===================================================================
OpenVINO 2022.3
Model: Vehicle Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 8.28 |=====================================================================
b . 8.28 |=====================================================================
c . 8.28 |=====================================================================
OpenVINO 2022.3
Model: Weld Porosity Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 193.79 |==============================================
b . 193.69 |==============================================
c . 279.92 |===================================================================
OpenVINO 2022.3
Model: Weld Porosity Detection FP16 - Device: CPU
ms < Lower Is Better
a . 51.54 |====================================================================
b . 51.54 |====================================================================
c . 14.28 |===================
OpenVINO 2022.3
Model: Machine Translation EN To DE FP16 - Device: CPU
FPS > Higher Is Better
a . 31.46 |====================================================================
b . 31.57 |====================================================================
c . 31.56 |====================================================================
OpenVINO 2022.3
Model: Machine Translation EN To DE FP16 - Device: CPU
ms < Lower Is Better
a . 126.99 |===================================================================
b . 126.67 |===================================================================
c . 126.62 |===================================================================
OpenVINO 2022.3
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 729.74 |==================================================================
b . 743.26 |===================================================================
c . 742.24 |===================================================================
OpenVINO 2022.3
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 13.62 |====================================================================
b . 13.37 |===================================================================
c . 13.39 |===================================================================
OpenVINO 2022.3
Model: Person Vehicle Bike Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 362.19 |===================================================================
b . 361.30 |===================================================================
c . 360.04 |===================================================================
OpenVINO 2022.3
Model: Person Vehicle Bike Detection FP16 - Device: CPU
ms < Lower Is Better
a . 11.03 |====================================================================
b . 11.06 |====================================================================
c . 11.10 |====================================================================
OpenVINO 2022.3
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
FPS > Higher Is Better
a . 5690.26 |==================================================================
b . 5674.99 |==================================================================
c . 5657.60 |==================================================================
OpenVINO 2022.3
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
ms < Lower Is Better
a . 1.66 |=====================================================================
b . 1.67 |=====================================================================
c . 1.67 |=====================================================================
OpenVINO 2022.3
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 6331.79 |==================================================================
b . 6334.00 |==================================================================
c . 6315.81 |==================================================================
OpenVINO 2022.3
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 1.49 |=====================================================================
b . 1.50 |=====================================================================
c . 1.50 |=====================================================================
RocksDB 7.9.2
Test: Random Fill
Op/s > Higher Is Better
a . 965627 |===================================================================
b . 962203 |===================================================================
c . 964297 |===================================================================
RocksDB 7.9.2
Test: Random Read
Op/s > Higher Is Better
a . 72263080 |=================================================================
b . 69770221 |===============================================================
c . 72249376 |=================================================================
RocksDB 7.9.2
Test: Update Random
Op/s > Higher Is Better
a . 608982 |===================================================================
b . 600126 |==================================================================
c . 609355 |===================================================================
RocksDB 7.9.2
Test: Sequential Fill
Op/s > Higher Is Better
a . 1148744 |===============================================================
b . 1196791 |==================================================================
c . 1099266 |=============================================================
RocksDB 7.9.2
Test: Random Fill Sync
Op/s > Higher Is Better
a . 14849 |====================================================================
b . 14631 |===================================================================
c . 14657 |===================================================================
RocksDB 7.9.2
Test: Read While Writing
Op/s > Higher Is Better
a . 2058765 |=================================================================
b . 2060652 |=================================================================
c . 2095257 |==================================================================
RocksDB 7.9.2
Test: Read Random Write Random
Op/s > Higher Is Better
a . 2016456 |==================================================================
b . 2004326 |==================================================================
c . 2012487 |==================================================================
BRL-CAD 7.34
VGR Performance Metric
VGR Performance Metric > Higher Is Better
a . 221849 |===================================================================
b . 221135 |===================================================================
c . 222429 |===================================================================