| Upload Date | November 15 2025 01:33 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Studio 16 inch G11 Mobile Workstation PC |
| Motherboard | HP 8CF5 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1735
322.6 IPS |
|
|
Image Classification (HP)
|
100% |
6285
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
8865
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2474
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3142
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4126
4.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
30781
35.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
65840
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1431
113.5 IPS |
|
|
Object Detection (HP)
|
100% |
5437
431.3 IPS |
|
|
Object Detection (Q)
|
88% |
9234
740.3 IPS |
|
|
Face Detection (SP)
|
100% |
4930
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
15467
183.8 IPS |
|
|
Face Detection (Q)
|
100% |
28839
342.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4540
35.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16787
129.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
30908
240.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10846
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
48563
62.4 IPS |
|
|
Style Transfer (Q)
|
98% |
87948
113.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2064
76.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14254
526.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27570
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
1849
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1879
2.51 KIPS |
|
|
Text Classification (Q)
|
92% |
1889
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2086
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4151
71.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4236
73.0 IPS |