| User | SlippingStaff |
| Upload Date | September 05 2025 01:54 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21LVS0XS00 |
| Motherboard | LENOVO 21LVS0XS00 |
| Power Plan | TELG |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 165U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1397
259.8 IPS |
|
|
Image Classification (HP)
|
100% |
5963
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
8253
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1991
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2492
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3326
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3324
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
29696
34.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
64079
75.1 IPS |
|
|
Object Detection (SP)
|
100% |
1391
110.3 IPS |
|
|
Object Detection (HP)
|
100% |
5327
422.5 IPS |
|
|
Object Detection (Q)
|
87% |
8766
703.5 IPS |
|
|
Face Detection (SP)
|
100% |
4152
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
14136
168.0 IPS |
|
|
Face Detection (Q)
|
100% |
24537
291.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4146
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16590
127.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
31558
245.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9908
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
47035
60.5 IPS |
|
|
Style Transfer (Q)
|
98% |
83802
108.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1672
61.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12452
459.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20538
760.6 IPS |
|
|
Text Classification (SP)
|
100% |
1690
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1811
2.42 KIPS |
|
|
Text Classification (Q)
|
92% |
1854
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2257
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3708
63.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3632
62.6 IPS |