| Upload Date | January 26 2026 09:08 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. Claw A1M |
| Motherboard | Micro-Star International Co., Ltd. MS-1T41 |
| 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% |
4669
868.2 IPS |
|
|
Image Classification (HP)
|
100% |
6986
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
8549
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4470
72.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11427
185.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15453
250.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18372
21.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
17725
20.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
57659
67.5 IPS |
|
|
Object Detection (SP)
|
100% |
4613
365.9 IPS |
|
|
Object Detection (HP)
|
100% |
7298
578.9 IPS |
|
|
Object Detection (Q)
|
88% |
10079
807.7 IPS |
|
|
Face Detection (SP)
|
100% |
8602
102.2 IPS |
|
|
Face Detection (HP)
|
100% |
18138
215.5 IPS |
|
|
Face Detection (Q)
|
100% |
28687
340.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16019
123.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
27506
212.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
31144
242.1 IPS |
|
|
Style Transfer (SP)
|
100% |
47361
60.9 IPS |
|
|
Style Transfer (HP)
|
100% |
61733
79.4 IPS |
|
|
Style Transfer (Q)
|
98% |
141332
182.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7828
289.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12430
459.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18717
693.2 IPS |
|
|
Text Classification (SP)
|
71% |
1420
2.05 KIPS |
|
|
Text Classification (HP)
|
71% |
2141
3.10 KIPS |
|
|
Text Classification (Q)
|
92% |
2206
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2278
39.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3430
59.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3307
57.1 IPS |