| Upload Date | November 11 2025 06:36 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 135H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Micro-Star International Co., Ltd. Claw A1M |
| Motherboard | Micro-Star International Co., Ltd. MS-1T41 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 135H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1451
269.8 IPS |
|
|
Image Classification (HP)
|
100% |
357
66.4 IPS |
|
|
Image Classification (Q)
|
99% |
3034
566.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
921
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
527
8.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
4134
67.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2873
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2290
2.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
11612
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1526
121.1 IPS |
|
|
Object Detection (HP)
|
100% |
466
36.9 IPS |
|
|
Object Detection (Q)
|
86% |
3661
294.3 IPS |
|
|
Face Detection (SP)
|
100% |
4308
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
1071
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
5652
67.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4280
33.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1388
10.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
8986
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7957
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5622
7.23 IPS |
|
|
Style Transfer (Q)
|
98% |
14159
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1551
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1111
41.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3143
116.4 IPS |
|
|
Text Classification (SP)
|
100% |
956
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
438
584.1 IPS |
|
|
Text Classification (Q)
|
97% |
955
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1348
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (Q)
|
65% |
1877
37.7 IPS |