| Upload Date | November 07 2025 02:40 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Thirdwave Corporation RL7C-R45-4 |
| Motherboard | CLEVO V5xxTNx |
| 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 | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5293
984.3 IPS |
|
|
Image Classification (HP)
|
100% |
8231
1.53 KIPS |
|
|
Image Classification (Q)
|
100% |
9882
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3815
61.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10432
169.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
16240
263.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
23464
27.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
22250
26.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
77102
90.3 IPS |
|
|
Object Detection (SP)
|
100% |
4840
383.9 IPS |
|
|
Object Detection (HP)
|
100% |
8385
665.1 IPS |
|
|
Object Detection (Q)
|
88% |
12108
970.3 IPS |
|
|
Face Detection (SP)
|
100% |
7546
89.7 IPS |
|
|
Face Detection (HP)
|
100% |
16354
194.3 IPS |
|
|
Face Detection (Q)
|
100% |
28686
340.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17508
134.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
31473
243.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
37346
290.3 IPS |
|
|
Style Transfer (SP)
|
100% |
51883
66.7 IPS |
|
|
Style Transfer (HP)
|
100% |
70508
90.6 IPS |
|
|
Style Transfer (Q)
|
98% |
178976
230.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9045
334.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15440
570.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23638
875.4 IPS |
|
|
Text Classification (SP)
|
71% |
1754
2.54 KIPS |
|
|
Text Classification (HP)
|
71% |
2470
3.57 KIPS |
|
|
Text Classification (Q)
|
92% |
2754
3.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2306
39.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3886
67.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3875
67.0 IPS |