| User | frankholamresearch |
| Upload Date | April 17 2026 06:25 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21ML0056US |
| Motherboard | LENOVO 21ML0056US |
| Power Plan | Task Sequence High Performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 135U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3679
684.1 IPS |
|
|
Image Classification (HP)
|
100% |
5658
1.05 KIPS |
|
|
Image Classification (Q)
|
100% |
7409
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3165
51.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7888
127.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10203
165.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10921
12.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
10552
12.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
35867
42.0 IPS |
|
|
Object Detection (SP)
|
100% |
3185
252.6 IPS |
|
|
Object Detection (HP)
|
100% |
5504
436.6 IPS |
|
|
Object Detection (Q)
|
88% |
8576
687.2 IPS |
|
|
Face Detection (SP)
|
100% |
6836
81.2 IPS |
|
|
Face Detection (HP)
|
100% |
14340
170.4 IPS |
|
|
Face Detection (Q)
|
100% |
22520
267.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10653
82.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
20658
159.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
24452
190.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29412
37.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37752
48.5 IPS |
|
|
Style Transfer (Q)
|
98% |
91316
117.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4999
184.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9034
333.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14889
551.4 IPS |
|
|
Text Classification (SP)
|
71% |
1434
2.07 KIPS |
|
|
Text Classification (HP)
|
71% |
2350
3.40 KIPS |
|
|
Text Classification (Q)
|
92% |
2412
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2156
37.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3221
55.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3224
55.7 IPS |