| Upload Date | August 28 2025 08:43 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1245U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 840 14 inch G9 Notebook PC |
| Motherboard | HP 8ABB |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1245U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1012
188.2 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.6 IPS |
|
|
Image Classification (Q)
|
99% |
2439
454.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
702
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
367
5.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
3158
51.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1823
2.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1215
1.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
5834
6.84 IPS |
|
|
Object Detection (SP)
|
100% |
953
75.6 IPS |
|
|
Object Detection (HP)
|
100% |
283
22.5 IPS |
|
|
Object Detection (Q)
|
86% |
2206
177.3 IPS |
|
|
Face Detection (SP)
|
100% |
2558
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
672
7.98 IPS |
|
|
Face Detection (Q)
|
97% |
3840
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2622
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
799
6.16 IPS |
|
|
Depth Estimation (Q)
|
78% |
5428
43.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4682
6.02 IPS |
|
|
Style Transfer (HP)
|
100% |
3094
3.98 IPS |
|
|
Style Transfer (Q)
|
98% |
8232
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
938
34.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
638
23.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1939
71.8 IPS |
|
|
Text Classification (SP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
329
438.9 IPS |
|
|
Text Classification (Q)
|
97% |
772
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
873
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
340
5.85 IPS |
|
|
Machine Translation (Q)
|
65% |
1259
25.3 IPS |