| User | Chineezze |
| Upload Date | October 06 2025 11:27 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 8 G1i 16 inch Notebook AI PC |
| Motherboard | HP 8D89 |
| Power Plan | Balanced |
| 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% |
5389
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
9982
1.86 KIPS |
|
|
Image Classification (Q)
|
100% |
13999
2.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4838
78.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14682
238.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18145
294.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
21274
24.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
85164
99.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
174618
204.4 IPS |
|
|
Object Detection (SP)
|
100% |
5297
420.2 IPS |
|
|
Object Detection (HP)
|
100% |
11419
905.7 IPS |
|
|
Object Detection (Q)
|
88% |
15062
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
6611
78.6 IPS |
|
|
Face Detection (HP)
|
100% |
16205
192.6 IPS |
|
|
Face Detection (Q)
|
100% |
28650
340.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17201
132.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
41099
316.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
57287
445.3 IPS |
|
|
Style Transfer (SP)
|
100% |
47796
61.4 IPS |
|
|
Style Transfer (HP)
|
100% |
134190
172.5 IPS |
|
|
Style Transfer (Q)
|
98% |
250024
322.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8697
321.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25088
926.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34871
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3011
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
4105
5.48 KIPS |
|
|
Text Classification (Q)
|
92% |
2856
3.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2257
38.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4727
81.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4690
80.8 IPS |