| User | Fraqture |
| Upload Date | February 15 2025 02:23 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Claw A1M |
| Motherboard | Micro-Star International Co., Ltd. MS-1T41 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2309
429.3 IPS |
|
|
Image Classification (HP)
|
100% |
491
91.4 IPS |
|
|
Image Classification (Q)
|
99% |
4590
856.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1116
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
872
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2854
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4825
5.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3051
3.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
16577
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2036
161.5 IPS |
|
|
Object Detection (HP)
|
100% |
483
38.3 IPS |
|
|
Object Detection (Q)
|
86% |
4900
393.8 IPS |
|
|
Face Detection (SP)
|
100% |
5804
69.0 IPS |
|
|
Face Detection (HP)
|
100% |
1260
15.0 IPS |
|
|
Face Detection (Q)
|
97% |
7251
86.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6009
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1504
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
11516
91.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11292
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8259
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17269
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1984
73.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1597
59.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3206
118.7 IPS |
|
|
Text Classification (SP)
|
100% |
1182
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
513
684.2 IPS |
|
|
Text Classification (Q)
|
97% |
1339
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1540
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
590
10.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2218
44.6 IPS |