| User | AdamOp |
| Upload Date | September 23 2025 08:03 PM |
| Views | 5 |
| 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 5 235U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
461
85.8 IPS |
|
|
Image Classification (HP)
|
100% |
818
152.2 IPS |
|
|
Image Classification (Q)
|
100% |
1531
284.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
451
7.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
822
13.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1181
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1281
1.49 IPS |
|
|
Pose Estimation (HP)
|
99% |
2282
2.67 IPS |
|
|
Pose Estimation (Q)
|
97% |
7735
9.06 IPS |
|
|
Object Detection (SP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (HP)
|
100% |
702
55.7 IPS |
|
|
Object Detection (Q)
|
88% |
1131
90.6 IPS |
|
|
Face Detection (SP)
|
100% |
1060
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
2154
25.6 IPS |
|
|
Face Detection (Q)
|
100% |
2807
33.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1435
11.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2353
18.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
3182
24.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3739
4.81 IPS |
|
|
Style Transfer (HP)
|
100% |
6918
8.89 IPS |
|
|
Style Transfer (Q)
|
98% |
15086
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
911
33.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1098
40.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3429
127.0 IPS |
|
|
Text Classification (SP)
|
71% |
508
735.0 IPS |
|
|
Text Classification (HP)
|
71% |
364
526.7 IPS |
|
|
Text Classification (Q)
|
92% |
646
868.5 IPS |
|
|
Machine Translation (SP)
|
100% |
204
3.51 IPS |
|
|
Machine Translation (HP)
|
98% |
394
6.81 IPS |
|
|
Machine Translation (Q)
|
98% |
397
6.86 IPS |