Upload Date | August 24 2024 02:39 PM |
Views | 1 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G834JYR_G834JYR |
Motherboard | ASUSTeK COMPUTER INC. G834JYR |
Power Plan | Turbo |
CPU Information | |
---|---|
Name | Intel Core i9-14900HX |
Topology | 1 Processor, 24 Cores, 32 Threads |
Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
Base Frequency | 2.20 GHz |
Cluster 1 | 8 Cores |
Cluster 2 | 16 Cores |
L1 Instruction Cache | 32.0 KB x 16 |
L1 Data Cache | 48.0 KB x 16 |
L2 Cache | 2.00 MB x 4 |
L3 Cache | 36.0 MB x 1 |
Memory Information | |
---|---|
Size | 32.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
2154
403.1 IPS |
|
Image Classification (F16)
|
100% |
2223
415.9 IPS |
|
Image Classification (I8)
|
99% |
3613
676.1 IPS |
|
Image Segmentation (F32)
|
100% |
1976
33.0 IPS |
|
Image Segmentation (F16)
|
100% |
1992
33.3 IPS |
|
Image Segmentation (I8)
|
98% |
2818
47.1 IPS |
|
Pose Estimation (F32)
|
100% |
9385
11.4 IPS |
|
Pose Estimation (F16)
|
100% |
9663
11.7 IPS |
|
Pose Estimation (I8)
|
100% |
28698
34.8 IPS |
|
Object Detection (F32)
|
100% |
2014
150.3 IPS |
|
Object Detection (F16)
|
100% |
1981
147.9 IPS |
|
Object Detection (I8)
|
62% |
1754
130.9 IPS |
|
Face Detection (F32)
|
100% |
4172
49.6 IPS |
|
Face Detection (F16)
|
100% |
4221
50.2 IPS |
|
Face Detection (I8)
|
89% |
4280
50.9 IPS |
|
Depth Estimation (F32)
|
100% |
8838
68.5 IPS |
|
Depth Estimation (F16)
|
100% |
9165
71.1 IPS |
|
Depth Estimation (I8)
|
96% |
14363
111.4 IPS |
|
Style Transfer (F32)
|
100% |
20237
26.6 IPS |
|
Style Transfer (F16)
|
100% |
19416
25.5 IPS |
|
Style Transfer (I8)
|
98% |
24391
32.1 IPS |
|
Image Super-Resolution (F32)
|
100% |
4040
144.3 IPS |
|
Image Super-Resolution (F16)
|
100% |
4049
144.6 IPS |
|
Image Super-Resolution (I8)
|
99% |
4945
176.6 IPS |
|
Text Classification (F32)
|
100% |
1519
2.18 KIPS |
|
Text Classification (F16)
|
100% |
1502
2.16 KIPS |
|
Text Classification (I8)
|
98% |
394
566.2 IPS |
|
Machine Translation (F32)
|
100% |
1892
34.8 IPS |
|
Machine Translation (F16)
|
100% |
1863
34.3 IPS |
|
Machine Translation (I8)
|
67% |
2697
49.6 IPS |