Intel Core i7-5960X testing with a Gigabyte X99-UD4-CF (F24c BIOS) and NVIDIA GeForce 6600 GT on Debian 12 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 2403101-NE-DGES3502010
dges
Intel Core i7-5960X testing with a Gigabyte X99-UD4-CF (F24c BIOS) and NVIDIA GeForce 6600 GT on Debian 12 via the Phoronix Test Suite.
,,"a","b","c"
Processor,,Intel Core i7-5960X @ 3.50GHz (8 Cores / 16 Threads),Intel Core i7-5960X @ 3.50GHz (8 Cores / 16 Threads),Intel Core i7-5960X @ 3.50GHz (8 Cores / 16 Threads)
Motherboard,,Gigabyte X99-UD4-CF (F24c BIOS),Gigabyte X99-UD4-CF (F24c BIOS),Gigabyte X99-UD4-CF (F24c BIOS)
Chipset,,Intel Xeon E7 v3/Xeon,Intel Xeon E7 v3/Xeon,Intel Xeon E7 v3/Xeon
Memory,,8 x 4GB DDR4-2400MT/s CMK16GX4M4A2666C16,8 x 4GB DDR4-2400MT/s CMK16GX4M4A2666C16,8 x 4GB DDR4-2400MT/s CMK16GX4M4A2666C16
Disk,,120GB INTEL SSDSC2BW12,120GB INTEL SSDSC2BW12,120GB INTEL SSDSC2BW12
Graphics,,NVIDIA GeForce 6600 GT,NVIDIA GeForce 6600 GT,NVIDIA GeForce 6600 GT
Audio,,Realtek ALC1150,Realtek ALC1150,Realtek ALC1150
Network,,Intel I218-V,Intel I218-V,Intel I218-V
OS,,Debian 12,Debian 12,Debian 12
Kernel,,6.1.0-11-amd64 (x86_64),6.1.0-11-amd64 (x86_64),6.1.0-11-amd64 (x86_64)
Compiler,,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0
File-System,,ext4,ext4,ext4
,,"a","b","c"
"oneDNN - Harness: Deconvolution Batch shapes_3d - Engine: CPU (ms)",LIB,9.17819,11.1317,9.13654
"OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (FPS)",HIB,62.94,65.39,60.76
"OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (ms)",LIB,63.51,61.15,65.79
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,103.47,104.39,109.41
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,77.26,76.56,73.08
"JPEG-XL libjxl - Input: PNG - Quality: 90 (MP/s)",HIB,14.46,14.895,14.361
"Parallel BZIP2 Compression - FreeBSD-13.0-RELEASE-amd64-memstick.img Compression (sec)",LIB,12.181856,12.617743,12.587372
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,22.33,22.38,21.7
"srsRAN Project - Test: PDSCH Processor Benchmark, Throughput Total (Mbps)",HIB,2684.6,2750.8,2667.7
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,179,178.67,184.21
"oneDNN - Harness: Recurrent Neural Network Training - Engine: CPU (ms)",LIB,5121.72,5067.24,4969.67
"OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (FPS)",HIB,463.96,462.05,450.59
"oneDNN - Harness: Recurrent Neural Network Inference - Engine: CPU (ms)",LIB,2754.39,2782.62,2835.16
"JPEG-XL libjxl - Input: PNG - Quality: 80 (MP/s)",HIB,16.01,15.556,15.77
"OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (ms)",LIB,8.61,8.64,8.86
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,19.88,20.32,19.78
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,201.04,196.71,202.08
"OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (ms)",LIB,82,81.68,83.44
"OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS)",HIB,48.75,48.94,47.91
"JPEG-XL libjxl - Input: JPEG - Quality: 80 (MP/s)",HIB,15.94,15.66,15.993
"oneDNN - Harness: Deconvolution Batch shapes_1d - Engine: CPU (ms)",LIB,7.3458,7.41562,7.2803
"Chaos Group V-RAY - Mode: CPU (vsamples)",HIB,8930,9077,9012
"JPEG-XL Decoding libjxl - CPU Threads: All (MP/s)",HIB,278.174,279,282.656
"WavPack Audio Encoding - WAV To WavPack (sec)",LIB,8.934,9.058,9.073
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,19.77,20.07,19.98
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,202.04,199.04,199.99
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,29.24,28.81,29.12
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,136.7,138.73,137.28
"JPEG-XL libjxl - Input: JPEG - Quality: 90 (MP/s)",HIB,14.811,14.961,14.949
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,176.63,175.21,176.97
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,158.19,158.2,156.65
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,25.27,25.27,25.52
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,22.63,22.81,22.59
"OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (ms)",LIB,16.14,15.99,16.04
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,1.12,1.12,1.13
"OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (FPS)",HIB,247.16,249.36,248.74
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,7068.61,7113.97,7055.76
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,1697.61,1684.01,1690.86
"OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,2215.18,2211.16,2199.21
"Google Draco - Model: Lion (ms)",LIB,6254,6215,6240
"OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,204.9,203.64,204.28
"OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,19.5,19.62,19.58
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,1.69,1.69,1.7
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,4700.66,4719.97,4692.56
"Google Draco - Model: Church Facade (ms)",LIB,7736,7695,7739
"JPEG-XL libjxl - Input: JPEG - Quality: 100 (MP/s)",HIB,6.942,6.975,6.981
"OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,1.8,1.79,1.79
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,7.56,7.52,7.53
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,528.36,531.04,530.77
"OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (ms)",LIB,17.16,17.12,17.08
"OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (FPS)",HIB,232.98,233.47,234.03
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,2.35,2.36,2.35
"oneDNN - Harness: IP Shapes 3D - Engine: CPU (ms)",LIB,9.58412,9.54774,9.57295
"srsRAN Project - Test: PUSCH Processor Benchmark, Throughput Thread (Mbps)",HIB,89.2,89,89.3
"JPEG-XL libjxl - Input: PNG - Quality: 100 (MP/s)",HIB,7.062,7.064,7.081
"oneDNN - Harness: IP Shapes 1D - Engine: CPU (ms)",LIB,8.34066,8.32894,8.35068
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,84.79,84.9,84.69
"JPEG-XL Decoding libjxl - CPU Threads: 1 (MP/s)",HIB,43.181,43.262,43.284
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,47.15,47.09,47.2
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,33.58,33.51,33.57
"oneDNN - Harness: Convolution Batch Shapes Auto - Engine: CPU (ms)",LIB,10.6322,10.6359,10.6142
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,238.14,238.61,238.23
"srsRAN Project - Test: PUSCH Processor Benchmark, Throughput Total (Mbps)",HIB,578.5,578.1,578.9
"srsRAN Project - Test: PDSCH Processor Benchmark, Throughput Thread (Mbps)",HIB,290.5,290.7,290.3