| Upload Date | October 23 2025 04:38 AM |
| Views | 2 |
| 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 14 inch Notebook AI PC |
| Motherboard | HP 8D89 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3458
643.1 IPS |
|
|
Image Classification (HP)
|
100% |
5824
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
7597
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2455
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6857
111.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10109
163.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12372
14.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
11608
13.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
39629
46.4 IPS |
|
|
Object Detection (SP)
|
100% |
3075
243.9 IPS |
|
|
Object Detection (HP)
|
100% |
5404
428.6 IPS |
|
|
Object Detection (Q)
|
88% |
9248
741.1 IPS |
|
|
Face Detection (SP)
|
100% |
5056
60.1 IPS |
|
|
Face Detection (HP)
|
100% |
11108
132.0 IPS |
|
|
Face Detection (Q)
|
100% |
19539
232.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11373
87.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
20022
154.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
25579
198.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28080
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
40213
51.7 IPS |
|
|
Style Transfer (Q)
|
98% |
91293
117.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4998
184.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9116
336.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15293
566.4 IPS |
|
|
Text Classification (SP)
|
71% |
1549
2.24 KIPS |
|
|
Text Classification (HP)
|
71% |
2494
3.61 KIPS |
|
|
Text Classification (Q)
|
92% |
2518
3.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1703
29.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3199
55.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3280
56.7 IPS |