| User | B007Cyber |
| Upload Date | August 20 2024 05:58 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 HERO EVA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2527
469.9 IPS |
|
|
Image Classification (HP)
|
100% |
156
29.1 IPS |
|
|
Image Classification (Q)
|
99% |
4389
818.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
297
4.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
3795
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11532
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4929
5.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
34757
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
3090
245.1 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
88% |
2519
201.9 IPS |
|
|
Face Detection (SP)
|
100% |
5045
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
338
4.02 IPS |
|
|
Face Detection (Q)
|
97% |
5239
62.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10710
82.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1010
7.78 IPS |
|
|
Depth Estimation (Q)
|
76% |
12004
96.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25346
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12492
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
28721
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3863
142.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2202
81.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5381
199.3 IPS |
|
|
Text Classification (SP)
|
100% |
1870
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
736
982.9 IPS |
|
|
Text Classification (Q)
|
97% |
1727
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2139
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2970
66.3 IPS |