| User | molaikull |
| Upload Date | September 04 2024 08:23 AM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 HERO |
| Power Plan | Performances optimales |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2658
494.2 IPS |
|
|
Image Classification (HP)
|
100% |
167
31.0 IPS |
|
|
Image Classification (Q)
|
99% |
4460
831.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2297
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
308
5.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
3226
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11915
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
5164
6.03 IPS |
|
|
Pose Estimation (Q)
|
95% |
34701
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
3082
244.5 IPS |
|
|
Object Detection (HP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (Q)
|
88% |
2459
197.1 IPS |
|
|
Face Detection (SP)
|
100% |
4653
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
344
4.09 IPS |
|
|
Face Detection (Q)
|
97% |
4946
59.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11287
87.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1070
8.24 IPS |
|
|
Depth Estimation (Q)
|
76% |
11268
90.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26412
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13015
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25685
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4298
158.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2395
88.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5304
196.4 IPS |
|
|
Text Classification (SP)
|
100% |
1838
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
753
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
574
768.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2140
36.9 IPS |
|
|
Machine Translation (HP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2582
57.6 IPS |