| Upload Date | November 12 2025 12:35 PM |
| Views | 2 |
| 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% |
4831
898.4 IPS |
|
|
Image Classification (HP)
|
100% |
7048
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
8482
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4352
70.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11364
184.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15094
244.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19791
23.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
17718
20.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
65337
76.5 IPS |
|
|
Object Detection (SP)
|
100% |
4564
362.0 IPS |
|
|
Object Detection (HP)
|
100% |
7742
614.1 IPS |
|
|
Object Detection (Q)
|
88% |
10809
866.2 IPS |
|
|
Face Detection (SP)
|
100% |
8706
103.4 IPS |
|
|
Face Detection (HP)
|
100% |
17767
211.1 IPS |
|
|
Face Detection (Q)
|
100% |
28367
337.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16872
130.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
29161
225.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
31198
242.5 IPS |
|
|
Style Transfer (SP)
|
100% |
47465
61.0 IPS |
|
|
Style Transfer (HP)
|
100% |
55429
71.3 IPS |
|
|
Style Transfer (Q)
|
98% |
152413
196.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7192
265.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12187
450.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18176
673.1 IPS |
|
|
Text Classification (SP)
|
71% |
1410
2.04 KIPS |
|
|
Text Classification (HP)
|
71% |
2088
3.02 KIPS |
|
|
Text Classification (Q)
|
92% |
2162
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2198
37.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3497
60.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3464
59.9 IPS |