Intel Core i7-1165G7 testing with a Dell 0GG9PT (3.15.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 23.10 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 2402185-PTS-DLD2291828
dld
Intel Core i7-1165G7 testing with a Dell 0GG9PT (3.15.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 23.10 via the Phoronix Test Suite.
a:
Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (3.15.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Kioxia KBG40ZNS256G NVMe 256GB, Graphics: Intel Xe TGL GT2 15GB (1300MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201
OS: Ubuntu 23.10, Kernel: 6.5.0-14-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3, OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
b:
Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (3.15.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Kioxia KBG40ZNS256G NVMe 256GB, Graphics: Intel Xe TGL GT2 15GB (1300MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201
OS: Ubuntu 23.10, Kernel: 6.5.0-14-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3, OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
c:
Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (3.15.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Kioxia KBG40ZNS256G NVMe 256GB, Graphics: Intel Xe TGL GT2 15GB (1300MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201
OS: Ubuntu 23.10, Kernel: 6.5.0-14-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3, OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
Quicksilver 20230818
Input: CTS2
Figure Of Merit > Higher Is Better
a . 3768000 |=================================================================
b . 3748000 |=================================================================
c . 3803000 |==================================================================
Quicksilver 20230818
Input: CORAL2 P1
Figure Of Merit > Higher Is Better
a . 3924000 |=================================================================
b . 3934000 |=================================================================
c . 3979000 |==================================================================
Quicksilver 20230818
Input: CORAL2 P2
Figure Of Merit > Higher Is Better
a . 6967000 |=================================================================
b . 6909000 |=================================================================
c . 7033000 |==================================================================
dav1d 1.4
Video Input: Chimera 1080p
FPS > Higher Is Better
a . 372.97 |==================================================================
b . 376.79 |===================================================================
c . 375.86 |===================================================================
dav1d 1.4
Video Input: Summer Nature 4K
FPS > Higher Is Better
a . 91.30 |=================================================================
b . 89.01 |================================================================
c . 94.83 |====================================================================
dav1d 1.4
Video Input: Summer Nature 1080p
FPS > Higher Is Better
a . 355.03 |================================================================
b . 353.19 |===============================================================
c . 372.70 |===================================================================
dav1d 1.4
Video Input: Chimera 1080p 10-bit
FPS > Higher Is Better
a . 282.22 |=================================================================
b . 292.17 |===================================================================
c . 281.72 |=================================================================
Intel Open Image Denoise 2.2
Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 0.14 |=====================================================================
b . 0.14 |=====================================================================
c . 0.14 |=====================================================================
Intel Open Image Denoise 2.2
Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 0.14 |================================================================
b . 0.14 |================================================================
c . 0.15 |=====================================================================
Intel Open Image Denoise 2.2
Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 0.07 |=====================================================================
b . 0.07 |=====================================================================
c . 0.07 |=====================================================================
ONNX Runtime 1.17
Model: GPT-2 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 79.69 |====================================================================
b . 71.34 |=============================================================
c . 71.36 |=============================================================
ONNX Runtime 1.17
Model: GPT-2 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 104.43 |===================================================================
b . 104.63 |===================================================================
c . 75.79 |=================================================
ONNX Runtime 1.17
Model: yolov4 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 2.67726 |=======================================================
b . 2.99139 |==============================================================
c . 3.20647 |==================================================================
ONNX Runtime 1.17
Model: yolov4 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 4.74083 |=============================================================
b . 5.09687 |==================================================================
c . 4.40278 |=========================================================
ONNX Runtime 1.17
Model: T5 Encoder - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 83.73 |========================================================
b . 99.92 |==================================================================
c . 100.99 |===================================================================
ONNX Runtime 1.17
Model: T5 Encoder - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 147.00 |===================================================================
b . 86.25 |=======================================
c . 143.06 |=================================================================
ONNX Runtime 1.17
Model: bertsquad-12 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 3.57545 |====================================================
b . 4.55577 |==================================================================
c . 4.39843 |================================================================
ONNX Runtime 1.17
Model: bertsquad-12 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 6.59505 |==================================================================
b . 6.58223 |==================================================================
c . 5.99361 |============================================================
ONNX Runtime 1.17
Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 211.62 |===========================================================
b . 240.54 |===================================================================
c . 214.67 |============================================================
ONNX Runtime 1.17
Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 323.59 |==================================================================
b . 324.41 |==================================================================
c . 330.56 |===================================================================
ONNX Runtime 1.17
Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 0.381473 |================================================================
b . 0.381990 |================================================================
c . 0.389855 |=================================================================
ONNX Runtime 1.17
Model: fcn-resnet101-11 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 0.701410 |================================================================
b . 0.655317 |============================================================
c . 0.714792 |=================================================================
ONNX Runtime 1.17
Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 8.50049 |==================================================================
b . 8.46368 |==================================================================
c . 8.34714 |=================================================================
ONNX Runtime 1.17
Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 15.15 |===================================================================
b . 13.98 |==============================================================
c . 15.36 |====================================================================
ONNX Runtime 1.17
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 82.38 |============================================================
b . 90.57 |==================================================================
c . 92.86 |====================================================================
ONNX Runtime 1.17
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 122.13 |===================================================================
b . 122.21 |===================================================================
c . 114.46 |===============================================================
ONNX Runtime 1.17
Model: super-resolution-10 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 25.79 |============================================================
b . 25.25 |===========================================================
c . 29.22 |====================================================================
ONNX Runtime 1.17
Model: super-resolution-10 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 41.43 |===================================================================
b . 41.75 |====================================================================
c . 24.55 |========================================
ONNX Runtime 1.17
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 20.50 |==========================================================
b . 20.77 |===========================================================
c . 24.03 |====================================================================
ONNX Runtime 1.17
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 33.16 |====================================================================
b . 32.54 |===================================================================
c . 29.12 |============================================================
CacheBench
Test: Read
MB/s > Higher Is Better
a . 8879.89 |==================================================================
b . 8883.91 |==================================================================
c . 8891.68 |==================================================================
CacheBench
Test: Write
MB/s > Higher Is Better
a . 107023.35 |===============================================================
b . 107972.86 |===============================================================
c . 108930.33 |================================================================
CacheBench
Test: Read / Modify / Write
MB/s > Higher Is Better
a . 104486.53 |================================================================
b . 105003.55 |================================================================
c . 103956.94 |===============================================================
LZ4 Compression 1.9.4
Compression Level: 1 - Compression Speed
MB/s > Higher Is Better
a . 747.67 |===================================================================
b . 748.52 |===================================================================
c . 748.04 |===================================================================
LZ4 Compression 1.9.4
Compression Level: 1 - Decompression Speed
MB/s > Higher Is Better
a . 4126.5 |==================================================================
b . 4158.3 |===================================================================
c . 4164.7 |===================================================================
LZ4 Compression 1.9.4
Compression Level: 3 - Compression Speed
MB/s > Higher Is Better
a . 115.84 |=================================================================
b . 115.91 |=================================================================
c . 119.11 |===================================================================
LZ4 Compression 1.9.4
Compression Level: 3 - Decompression Speed
MB/s > Higher Is Better
a . 3813.8 |=================================================================
b . 3836.7 |==================================================================
c . 3911.2 |===================================================================
LZ4 Compression 1.9.4
Compression Level: 9 - Compression Speed
MB/s > Higher Is Better
a . 40.49 |===================================================================
b . 40.86 |====================================================================
c . 40.73 |====================================================================
LZ4 Compression 1.9.4
Compression Level: 9 - Decompression Speed
MB/s > Higher Is Better
a . 4049.1 |==================================================================
b . 4086.1 |===================================================================
c . 4063.8 |===================================================================
GROMACS 2024
Implementation: MPI CPU - Input: water_GMX50_bare
Ns Per Day > Higher Is Better
a . 0.451 |==========================================================
b . 0.529 |====================================================================
c . 0.532 |====================================================================
NAMD 3.0b6
Input: ATPase with 327,506 Atoms
ns/day > Higher Is Better
a . 0.50294 |=================================================================
b . 0.49416 |================================================================
c . 0.50756 |==================================================================
NAMD 3.0b6
Input: STMV with 1,066,628 Atoms
ns/day > Higher Is Better
a . 0.14600 |==============================================================
b . 0.15515 |==================================================================
c . 0.14742 |===============================================================
ONNX Runtime 1.17
Model: GPT-2 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 12.54 |=============================================================
b . 14.01 |====================================================================
c . 14.01 |====================================================================
ONNX Runtime 1.17
Model: GPT-2 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 9.56824 |===============================================
b . 9.55056 |===============================================
c . 13.18590 |=================================================================
ONNX Runtime 1.17
Model: yolov4 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 373.51 |===================================================================
b . 334.29 |============================================================
c . 311.87 |========================================================
ONNX Runtime 1.17
Model: yolov4 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 210.93 |==============================================================
b . 196.20 |==========================================================
c . 227.13 |===================================================================
ONNX Runtime 1.17
Model: T5 Encoder - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 11.93970 |=================================================================
b . 10.00570 |======================================================
c . 9.89992 |======================================================
ONNX Runtime 1.17
Model: T5 Encoder - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 6.80058 |======================================
b . 11.59150 |=================================================================
c . 6.98771 |=======================================
ONNX Runtime 1.17
Model: bertsquad-12 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 279.68 |===================================================================
b . 219.50 |=====================================================
c . 227.35 |======================================================
ONNX Runtime 1.17
Model: bertsquad-12 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 151.62 |=============================================================
b . 151.92 |=============================================================
c . 166.84 |===================================================================
ONNX Runtime 1.17
Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 4.72355 |==================================================================
b . 4.15476 |==========================================================
c . 4.65663 |=================================================================
ONNX Runtime 1.17
Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 3.08876 |==================================================================
b . 3.08090 |==================================================================
c . 3.02359 |=================================================================
ONNX Runtime 1.17
Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 2621.41 |==================================================================
b . 2617.86 |==================================================================
c . 2565.05 |=================================================================
ONNX Runtime 1.17
Model: fcn-resnet101-11 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 1425.70 |==============================================================
b . 1525.97 |==================================================================
c . 1399.00 |=============================================================
ONNX Runtime 1.17
Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 117.64 |==================================================================
b . 118.15 |==================================================================
c . 119.80 |===================================================================
ONNX Runtime 1.17
Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 66.00 |===============================================================
b . 71.52 |====================================================================
c . 65.09 |==============================================================
ONNX Runtime 1.17
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 12.14 |====================================================================
b . 11.04 |==============================================================
c . 10.77 |============================================================
ONNX Runtime 1.17
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 8.18569 |==============================================================
b . 8.18057 |==============================================================
c . 8.73424 |==================================================================
ONNX Runtime 1.17
Model: super-resolution-10 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 38.77 |===================================================================
b . 39.61 |====================================================================
c . 34.22 |===========================================================
ONNX Runtime 1.17
Model: super-resolution-10 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 24.13 |========================================
b . 23.95 |========================================
c . 40.73 |====================================================================
ONNX Runtime 1.17
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 48.77 |====================================================================
b . 48.14 |===================================================================
c . 41.60 |==========================================================
ONNX Runtime 1.17
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 30.15 |============================================================
b . 30.72 |=============================================================
c . 34.34 |====================================================================
Y-Cruncher 0.8.3
Pi Digits To Calculate: 500M
Seconds < Lower Is Better
a . 28.54 |====================================================================
b . 28.52 |====================================================================
c . 28.40 |====================================================================