| User | tester_one |
| Upload Date | July 18 2025 04:11 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-8100T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dedicated Computing OEM-A8101-01 |
| Motherboard | BCM Advanced Research MX310HD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-8100T |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 11 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1043
194.0 IPS |
|
|
Image Classification (HP)
|
100% |
258
47.9 IPS |
|
|
Image Classification (Q)
|
96% |
1601
299.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
505
8.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
360
5.83 IPS |
|
|
Image Segmentation (Q)
|
97% |
1264
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2182
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
1923
2.24 IPS |
|
|
Pose Estimation (Q)
|
86% |
4155
4.91 IPS |
|
|
Object Detection (SP)
|
100% |
968
76.8 IPS |
|
|
Object Detection (HP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (Q)
|
58% |
1057
115.4 IPS |
|
|
Face Detection (SP)
|
100% |
1311
15.6 IPS |
|
|
Face Detection (HP)
|
100% |
603
7.16 IPS |
|
|
Face Detection (Q)
|
96% |
2845
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2654
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
962
7.41 IPS |
|
|
Depth Estimation (Q)
|
78% |
3739
29.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5222
6.71 IPS |
|
|
Style Transfer (HP)
|
100% |
4376
5.63 IPS |
|
|
Style Transfer (Q)
|
87% |
5473
7.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1010
37.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
902
33.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1871
69.3 IPS |
|
|
Text Classification (SP)
|
100% |
937
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
500
668.0 IPS |
|
|
Text Classification (Q)
|
97% |
291
389.7 IPS |
|
|
Machine Translation (SP)
|
100% |
974
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (Q)
|
68% |
966
18.7 IPS |