| User | abbyscircuit |
| Upload Date | June 29 2025 03:30 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP Pavilion Plus Laptop 14-ew1xxx |
| Motherboard | HP 8C31 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| 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% |
1195
222.2 IPS |
|
|
Image Classification (HP)
|
100% |
5743
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
7993
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2443
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3400
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2990
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
29696
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
64328
75.4 IPS |
|
|
Object Detection (SP)
|
100% |
1139
90.4 IPS |
|
|
Object Detection (HP)
|
100% |
5067
401.9 IPS |
|
|
Object Detection (Q)
|
87% |
8202
658.2 IPS |
|
|
Face Detection (SP)
|
100% |
3382
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
12976
154.2 IPS |
|
|
Face Detection (Q)
|
100% |
23177
275.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3114
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16186
124.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
30308
235.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8638
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
45513
58.5 IPS |
|
|
Style Transfer (Q)
|
98% |
81308
104.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1572
58.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12073
445.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20030
741.8 IPS |
|
|
Text Classification (SP)
|
100% |
1314
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1636
2.18 KIPS |
|
|
Text Classification (Q)
|
92% |
1605
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1870
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3395
58.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3557
61.3 IPS |