| User | edsvo |
| Upload Date | September 27 2025 07:20 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7820HQ |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | Dell Inc. Precision 5520 |
| Motherboard | Dell Inc. 0R6JFH |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7820HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1197
222.7 IPS |
|
|
Image Classification (HP)
|
100% |
315
58.5 IPS |
|
|
Image Classification (Q)
|
96% |
1790
334.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
754
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
483
7.83 IPS |
|
|
Image Segmentation (Q)
|
97% |
1496
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2285
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
1647
1.92 IPS |
|
|
Pose Estimation (Q)
|
86% |
3252
3.84 IPS |
|
|
Object Detection (SP)
|
100% |
1168
92.7 IPS |
|
|
Object Detection (HP)
|
100% |
259
20.6 IPS |
|
|
Object Detection (Q)
|
58% |
1152
125.8 IPS |
|
|
Face Detection (SP)
|
100% |
2516
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
614
7.30 IPS |
|
|
Face Detection (Q)
|
96% |
3524
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2860
22.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
803
6.19 IPS |
|
|
Depth Estimation (Q)
|
78% |
3973
31.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3923
5.04 IPS |
|
|
Style Transfer (HP)
|
100% |
3540
4.55 IPS |
|
|
Style Transfer (Q)
|
87% |
7424
9.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1123
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
636
23.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1947
72.2 IPS |
|
|
Text Classification (SP)
|
100% |
1055
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
443
591.9 IPS |
|
|
Text Classification (Q)
|
97% |
283
379.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
461
7.95 IPS |
|
|
Machine Translation (Q)
|
68% |
1359
26.3 IPS |