| User | AdamOp |
| Upload Date | September 08 2025 11:26 AM |
| Views | 9 |
| 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 X G1i 16 inch Mobile Workstation PC |
| Motherboard | HP 8E1D |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4143
770.6 IPS |
|
|
Image Classification (HP)
|
100% |
6336
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
9310
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4591
74.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2639
42.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3671
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8393
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
32613
38.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
70215
82.2 IPS |
|
|
Object Detection (SP)
|
100% |
3003
238.2 IPS |
|
|
Object Detection (HP)
|
100% |
5115
405.7 IPS |
|
|
Object Detection (Q)
|
87% |
9164
735.5 IPS |
|
|
Face Detection (SP)
|
100% |
8784
104.4 IPS |
|
|
Face Detection (HP)
|
100% |
11979
142.3 IPS |
|
|
Face Detection (Q)
|
100% |
24950
296.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8748
67.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13026
100.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
24400
189.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24072
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38734
49.8 IPS |
|
|
Style Transfer (Q)
|
98% |
74019
95.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4374
161.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12822
473.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21333
790.0 IPS |
|
|
Text Classification (SP)
|
100% |
3927
5.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1941
2.59 KIPS |
|
|
Text Classification (Q)
|
92% |
1932
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3950
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3782
65.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3830
66.0 IPS |