| Upload Date | August 28 2025 09:58 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 135U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 840 14 inch G11 Notebook PC |
| Motherboard | HP 8C26 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 135U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1280
238.1 IPS |
|
|
Image Classification (HP)
|
100% |
1298
241.3 IPS |
|
|
Image Classification (Q)
|
100% |
4107
763.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1828
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1861
30.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4028
65.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3529
4.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
3491
4.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
11626
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1311
104.0 IPS |
|
|
Object Detection (HP)
|
100% |
1309
103.8 IPS |
|
|
Object Detection (Q)
|
88% |
3269
262.1 IPS |
|
|
Face Detection (SP)
|
100% |
3532
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
3542
42.1 IPS |
|
|
Face Detection (Q)
|
100% |
8061
95.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3448
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3454
26.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
8673
67.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9076
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9742
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
32286
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1865
68.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1835
67.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6357
235.4 IPS |
|
|
Text Classification (SP)
|
100% |
1572
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1553
2.07 KIPS |
|
|
Text Classification (Q)
|
92% |
3274
4.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2051
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2103
36.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2008
34.6 IPS |