| Upload Date | September 02 2025 09:18 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 6 G1i 14 inch Notebook AI PC |
| Motherboard | HP 8DEB |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1534
285.3 IPS |
|
|
Image Classification (HP)
|
100% |
1432
266.3 IPS |
|
|
Image Classification (Q)
|
100% |
4951
920.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2131
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1905
30.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4389
71.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3082
3.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
2916
3.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
10787
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1209
95.9 IPS |
|
|
Object Detection (HP)
|
100% |
1253
99.4 IPS |
|
|
Object Detection (Q)
|
88% |
3517
281.9 IPS |
|
|
Face Detection (SP)
|
100% |
3742
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
3726
44.3 IPS |
|
|
Face Detection (Q)
|
100% |
8951
106.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3827
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3846
29.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
10040
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8439
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8529
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
29321
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1714
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1605
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5590
207.0 IPS |
|
|
Text Classification (SP)
|
100% |
1515
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1487
1.98 KIPS |
|
|
Text Classification (Q)
|
92% |
3476
4.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2518
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2450
42.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2158
37.2 IPS |