| User | IAMTESTING |
| Upload Date | November 10 2025 06:55 PM |
| 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 8 G1i 14 inch Mobile Workstation PC |
| Motherboard | HP 8D94 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3497
650.4 IPS |
|
|
Image Classification (HP)
|
100% |
6850
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
9507
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4104
66.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2890
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3935
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7111
8.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
34429
40.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
73935
86.6 IPS |
|
|
Object Detection (SP)
|
100% |
2884
228.8 IPS |
|
|
Object Detection (HP)
|
100% |
6100
483.9 IPS |
|
|
Object Detection (Q)
|
87% |
9887
793.5 IPS |
|
|
Face Detection (SP)
|
100% |
8739
103.8 IPS |
|
|
Face Detection (HP)
|
100% |
16423
195.1 IPS |
|
|
Face Detection (Q)
|
100% |
31763
377.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8074
62.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18635
143.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
34493
268.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20522
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
52346
67.3 IPS |
|
|
Style Transfer (Q)
|
98% |
95084
122.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3687
136.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14076
519.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23432
867.8 IPS |
|
|
Text Classification (SP)
|
100% |
3346
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2017
2.69 KIPS |
|
|
Text Classification (Q)
|
92% |
2050
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2415
41.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4292
73.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4325
74.5 IPS |