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:
Processor: Intel Core i7-5960X @ 3.50GHz (8 Cores / 16 Threads), Motherboard: Gigabyte X99-UD4-CF (F24c BIOS), Chipset: Intel Xeon E7 v3/Xeon, Memory: 8 x 4GB DDR4-2400MT/s CMK16GX4M4A2666C16, Disk: 120GB INTEL SSDSC2BW12, Graphics: NVIDIA GeForce 6600 GT, Audio: Realtek ALC1150, Network: Intel I218-V
OS: Debian 12, Kernel: 6.1.0-11-amd64 (x86_64), Compiler: GCC 12.2.0, File-System: ext4
b:
Processor: Intel Core i7-5960X @ 3.50GHz (8 Cores / 16 Threads), Motherboard: Gigabyte X99-UD4-CF (F24c BIOS), Chipset: Intel Xeon E7 v3/Xeon, Memory: 8 x 4GB DDR4-2400MT/s CMK16GX4M4A2666C16, Disk: 120GB INTEL SSDSC2BW12, Graphics: NVIDIA GeForce 6600 GT, Audio: Realtek ALC1150, Network: Intel I218-V
OS: Debian 12, Kernel: 6.1.0-11-amd64 (x86_64), Compiler: GCC 12.2.0, File-System: ext4
c:
Processor: Intel Core i7-5960X @ 3.50GHz (8 Cores / 16 Threads), Motherboard: Gigabyte X99-UD4-CF (F24c BIOS), Chipset: Intel Xeon E7 v3/Xeon, Memory: 8 x 4GB DDR4-2400MT/s CMK16GX4M4A2666C16, Disk: 120GB INTEL SSDSC2BW12, Graphics: NVIDIA GeForce 6600 GT, Audio: Realtek ALC1150, Network: Intel I218-V
OS: Debian 12, Kernel: 6.1.0-11-amd64 (x86_64), Compiler: GCC 12.2.0, File-System: ext4
Chaos Group V-RAY 6.0
Mode: CPU
vsamples > Higher Is Better
a . 8930 |====================================================================
b . 9077 |=====================================================================
c . 9012 |=====================================================================
Google Draco 1.5.6
Model: Lion
ms < Lower Is Better
a . 6254 |=====================================================================
b . 6215 |=====================================================================
c . 6240 |=====================================================================
Google Draco 1.5.6
Model: Church Facade
ms < Lower Is Better
a . 7736 |=====================================================================
b . 7695 |=====================================================================
c . 7739 |=====================================================================
JPEG-XL Decoding libjxl 0.10.1
CPU Threads: 1
MP/s > Higher Is Better
a . 43.18 |====================================================================
b . 43.26 |====================================================================
c . 43.28 |====================================================================
JPEG-XL Decoding libjxl 0.10.1
CPU Threads: All
MP/s > Higher Is Better
a . 278.17 |==================================================================
b . 279.00 |==================================================================
c . 282.66 |===================================================================
JPEG-XL libjxl 0.10.1
Input: PNG - Quality: 80
MP/s > Higher Is Better
a . 16.01 |====================================================================
b . 15.56 |==================================================================
c . 15.77 |===================================================================
JPEG-XL libjxl 0.10.1
Input: PNG - Quality: 90
MP/s > Higher Is Better
a . 14.46 |==================================================================
b . 14.90 |====================================================================
c . 14.36 |==================================================================
JPEG-XL libjxl 0.10.1
Input: JPEG - Quality: 80
MP/s > Higher Is Better
a . 15.94 |====================================================================
b . 15.66 |===================================================================
c . 15.99 |====================================================================
JPEG-XL libjxl 0.10.1
Input: JPEG - Quality: 90
MP/s > Higher Is Better
a . 14.81 |===================================================================
b . 14.96 |====================================================================
c . 14.95 |====================================================================
JPEG-XL libjxl 0.10.1
Input: PNG - Quality: 100
MP/s > Higher Is Better
a . 7.062 |====================================================================
b . 7.064 |====================================================================
c . 7.081 |====================================================================
JPEG-XL libjxl 0.10.1
Input: JPEG - Quality: 100
MP/s > Higher Is Better
a . 6.942 |====================================================================
b . 6.975 |====================================================================
c . 6.981 |====================================================================
oneDNN 3.4
Harness: IP Shapes 1D - Engine: CPU
ms < Lower Is Better
a . 8.34066 |==================================================================
b . 8.32894 |==================================================================
c . 8.35068 |==================================================================
oneDNN 3.4
Harness: IP Shapes 3D - Engine: CPU
ms < Lower Is Better
a . 9.58412 |==================================================================
b . 9.54774 |==================================================================
c . 9.57295 |==================================================================
oneDNN 3.4
Harness: Convolution Batch Shapes Auto - Engine: CPU
ms < Lower Is Better
a . 10.63 |====================================================================
b . 10.64 |====================================================================
c . 10.61 |====================================================================
oneDNN 3.4
Harness: Deconvolution Batch shapes_1d - Engine: CPU
ms < Lower Is Better
a . 7.34580 |=================================================================
b . 7.41562 |==================================================================
c . 7.28030 |=================================================================
oneDNN 3.4
Harness: Deconvolution Batch shapes_3d - Engine: CPU
ms < Lower Is Better
a . 9.17819 |======================================================
b . 11.13170 |=================================================================
c . 9.13654 |=====================================================
oneDNN 3.4
Harness: Recurrent Neural Network Training - Engine: CPU
ms < Lower Is Better
a . 5121.72 |==================================================================
b . 5067.24 |=================================================================
c . 4969.67 |================================================================
oneDNN 3.4
Harness: Recurrent Neural Network Inference - Engine: CPU
ms < Lower Is Better
a . 2754.39 |================================================================
b . 2782.62 |=================================================================
c . 2835.16 |==================================================================
OpenVINO 2024.0
Model: Face Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 1.80 |=====================================================================
b . 1.79 |=====================================================================
c . 1.79 |=====================================================================
OpenVINO 2024.0
Model: Face Detection FP16 - Device: CPU
ms < Lower Is Better
a . 2215.18 |==================================================================
b . 2211.16 |==================================================================
c . 2199.21 |==================================================================
OpenVINO 2024.0
Model: Person Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 19.77 |===================================================================
b . 20.07 |====================================================================
c . 19.98 |====================================================================
OpenVINO 2024.0
Model: Person Detection FP16 - Device: CPU
ms < Lower Is Better
a . 202.04 |===================================================================
b . 199.04 |==================================================================
c . 199.99 |==================================================================
OpenVINO 2024.0
Model: Person Detection FP32 - Device: CPU
FPS > Higher Is Better
a . 19.50 |====================================================================
b . 19.62 |====================================================================
c . 19.58 |====================================================================
OpenVINO 2024.0
Model: Person Detection FP32 - Device: CPU
ms < Lower Is Better
a . 204.90 |===================================================================
b . 203.64 |===================================================================
c . 204.28 |===================================================================
OpenVINO 2024.0
Model: Vehicle Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 136.70 |==================================================================
b . 138.73 |===================================================================
c . 137.28 |==================================================================
OpenVINO 2024.0
Model: Vehicle Detection FP16 - Device: CPU
ms < Lower Is Better
a . 29.24 |====================================================================
b . 28.81 |===================================================================
c . 29.12 |====================================================================
OpenVINO 2024.0
Model: Face Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 2.35 |=====================================================================
b . 2.36 |=====================================================================
c . 2.35 |=====================================================================
OpenVINO 2024.0
Model: Face Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 1697.61 |==================================================================
b . 1684.01 |=================================================================
c . 1690.86 |==================================================================
OpenVINO 2024.0
Model: Face Detection Retail FP16 - Device: CPU
FPS > Higher Is Better
a . 463.96 |===================================================================
b . 462.05 |===================================================================
c . 450.59 |=================================================================
OpenVINO 2024.0
Model: Face Detection Retail FP16 - Device: CPU
ms < Lower Is Better
a . 8.61 |===================================================================
b . 8.64 |===================================================================
c . 8.86 |=====================================================================
OpenVINO 2024.0
Model: Road Segmentation ADAS FP16 - Device: CPU
FPS > Higher Is Better
a . 48.75 |====================================================================
b . 48.94 |====================================================================
c . 47.91 |===================================================================
OpenVINO 2024.0
Model: Road Segmentation ADAS FP16 - Device: CPU
ms < Lower Is Better
a . 82.00 |===================================================================
b . 81.68 |===================================================================
c . 83.44 |====================================================================
OpenVINO 2024.0
Model: Vehicle Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 176.63 |===================================================================
b . 175.21 |==================================================================
c . 176.97 |===================================================================
OpenVINO 2024.0
Model: Vehicle Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 22.63 |===================================================================
b . 22.81 |====================================================================
c . 22.59 |===================================================================
OpenVINO 2024.0
Model: Weld Porosity Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 158.19 |===================================================================
b . 158.20 |===================================================================
c . 156.65 |==================================================================
OpenVINO 2024.0
Model: Weld Porosity Detection FP16 - Device: CPU
ms < Lower Is Better
a . 25.27 |===================================================================
b . 25.27 |===================================================================
c . 25.52 |====================================================================
OpenVINO 2024.0
Model: Face Detection Retail FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 528.36 |===================================================================
b . 531.04 |===================================================================
c . 530.77 |===================================================================
OpenVINO 2024.0
Model: Face Detection Retail FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 7.56 |=====================================================================
b . 7.52 |=====================================================================
c . 7.53 |=====================================================================
OpenVINO 2024.0
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 84.79 |====================================================================
b . 84.90 |====================================================================
c . 84.69 |====================================================================
OpenVINO 2024.0
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 47.15 |====================================================================
b . 47.09 |====================================================================
c . 47.20 |====================================================================
OpenVINO 2024.0
Model: Machine Translation EN To DE FP16 - Device: CPU
FPS > Higher Is Better
a . 22.33 |====================================================================
b . 22.38 |====================================================================
c . 21.70 |==================================================================
OpenVINO 2024.0
Model: Machine Translation EN To DE FP16 - Device: CPU
ms < Lower Is Better
a . 179.00 |=================================================================
b . 178.67 |=================================================================
c . 184.21 |===================================================================
OpenVINO 2024.0
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 238.14 |===================================================================
b . 238.61 |===================================================================
c . 238.23 |===================================================================
OpenVINO 2024.0
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 33.58 |====================================================================
b . 33.51 |====================================================================
c . 33.57 |====================================================================
OpenVINO 2024.0
Model: Person Vehicle Bike Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 201.04 |===================================================================
b . 196.71 |=================================================================
c . 202.08 |===================================================================
OpenVINO 2024.0
Model: Person Vehicle Bike Detection FP16 - Device: CPU
ms < Lower Is Better
a . 19.88 |===================================================================
b . 20.32 |====================================================================
c . 19.78 |==================================================================
OpenVINO 2024.0
Model: Noise Suppression Poconet-Like FP16 - Device: CPU
FPS > Higher Is Better
a . 247.16 |==================================================================
b . 249.36 |===================================================================
c . 248.74 |===================================================================
OpenVINO 2024.0
Model: Noise Suppression Poconet-Like FP16 - Device: CPU
ms < Lower Is Better
a . 16.14 |====================================================================
b . 15.99 |===================================================================
c . 16.04 |====================================================================
OpenVINO 2024.0
Model: Handwritten English Recognition FP16 - Device: CPU
FPS > Higher Is Better
a . 62.94 |=================================================================
b . 65.39 |====================================================================
c . 60.76 |===============================================================
OpenVINO 2024.0
Model: Handwritten English Recognition FP16 - Device: CPU
ms < Lower Is Better
a . 63.51 |==================================================================
b . 61.15 |===============================================================
c . 65.79 |====================================================================
OpenVINO 2024.0
Model: Person Re-Identification Retail FP16 - Device: CPU
FPS > Higher Is Better
a . 232.98 |===================================================================
b . 233.47 |===================================================================
c . 234.03 |===================================================================
OpenVINO 2024.0
Model: Person Re-Identification Retail FP16 - Device: CPU
ms < Lower Is Better
a . 17.16 |====================================================================
b . 17.12 |====================================================================
c . 17.08 |====================================================================
OpenVINO 2024.0
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
FPS > Higher Is Better
a . 4700.66 |==================================================================
b . 4719.97 |==================================================================
c . 4692.56 |==================================================================
OpenVINO 2024.0
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
ms < Lower Is Better
a . 1.69 |=====================================================================
b . 1.69 |=====================================================================
c . 1.70 |=====================================================================
OpenVINO 2024.0
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 77.26 |====================================================================
b . 76.56 |===================================================================
c . 73.08 |================================================================
OpenVINO 2024.0
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 103.47 |===============================================================
b . 104.39 |================================================================
c . 109.41 |===================================================================
OpenVINO 2024.0
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 7068.61 |==================================================================
b . 7113.97 |==================================================================
c . 7055.76 |=================================================================
OpenVINO 2024.0
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 1.12 |====================================================================
b . 1.12 |====================================================================
c . 1.13 |=====================================================================
Parallel BZIP2 Compression 1.1.13
FreeBSD-13.0-RELEASE-amd64-memstick.img Compression
Seconds < Lower Is Better
a . 12.18 |==================================================================
b . 12.62 |====================================================================
c . 12.59 |====================================================================
srsRAN Project 23.10.1-20240219
Test: PDSCH Processor Benchmark, Throughput Total
Mbps > Higher Is Better
a . 2684.6 |=================================================================
b . 2750.8 |===================================================================
c . 2667.7 |=================================================================
srsRAN Project 23.10.1-20240219
Test: PUSCH Processor Benchmark, Throughput Total
Mbps > Higher Is Better
a . 578.5 |====================================================================
b . 578.1 |====================================================================
c . 578.9 |====================================================================
srsRAN Project 23.10.1-20240219
Test: PDSCH Processor Benchmark, Throughput Thread
Mbps > Higher Is Better
a . 290.5 |====================================================================
b . 290.7 |====================================================================
c . 290.3 |====================================================================
srsRAN Project 23.10.1-20240219
Test: PUSCH Processor Benchmark, Throughput Thread
Mbps > Higher Is Better
a . 89.2 |=====================================================================
b . 89.0 |=====================================================================
c . 89.3 |=====================================================================
WavPack Audio Encoding 5.7
WAV To WavPack
Seconds < Lower Is Better
a . 8.934 |===================================================================
b . 9.058 |====================================================================
c . 9.073 |====================================================================