| User | Chineezze |
| Upload Date | October 03 2025 03:23 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 8 G1i 14 inch Notebook AI PC |
| Motherboard | HP 8D89 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 235H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2925
544.0 IPS |
|
|
Image Classification (HP)
|
100% |
6622
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
9431
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3534
57.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2711
43.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3498
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6181
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
33722
39.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
71533
83.8 IPS |
|
|
Object Detection (SP)
|
100% |
2293
181.8 IPS |
|
|
Object Detection (HP)
|
100% |
5435
431.1 IPS |
|
|
Object Detection (Q)
|
88% |
9595
769.2 IPS |
|
|
Face Detection (SP)
|
100% |
6456
76.7 IPS |
|
|
Face Detection (HP)
|
100% |
14405
171.2 IPS |
|
|
Face Detection (Q)
|
100% |
30100
357.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6753
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13581
104.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
26112
203.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17359
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
42264
54.3 IPS |
|
|
Style Transfer (Q)
|
98% |
79760
102.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3276
121.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16033
592.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30646
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3126
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2017
2.69 KIPS |
|
|
Text Classification (Q)
|
92% |
2069
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2792
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4035
69.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4145
71.4 IPS |