| Upload Date | August 13 2025 08:56 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-3220 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Datacenter (64-bit) |
| Model | Dell Inc. OptiPlex 7010 |
| Motherboard | Dell Inc. 0GXM1W |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-3220 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.29 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 10.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
300
55.8 IPS |
|
|
Image Classification (HP)
|
100% |
143
26.6 IPS |
|
|
Image Classification (Q)
|
96% |
317
59.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
219
3.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
183
2.97 IPS |
|
|
Image Segmentation (Q)
|
97% |
364
5.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
613
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
466
0.54 IPS |
|
|
Pose Estimation (Q)
|
86% |
591
0.70 IPS |
|
|
Object Detection (SP)
|
100% |
289
22.9 IPS |
|
|
Object Detection (HP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (Q)
|
58% |
236
25.8 IPS |
|
|
Face Detection (SP)
|
100% |
637
7.57 IPS |
|
|
Face Detection (HP)
|
100% |
347
4.12 IPS |
|
|
Face Detection (Q)
|
96% |
651
7.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
781
6.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
435
3.35 IPS |
|
|
Depth Estimation (Q)
|
78% |
677
5.39 IPS |
|
|
Style Transfer (SP)
|
100% |
1481
1.90 IPS |
|
|
Style Transfer (HP)
|
100% |
1210
1.55 IPS |
|
|
Style Transfer (Q)
|
87% |
1223
1.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
325
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
267
9.87 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
370
13.7 IPS |
|
|
Text Classification (SP)
|
100% |
328
437.3 IPS |
|
|
Text Classification (HP)
|
100% |
215
287.6 IPS |
|
|
Text Classification (Q)
|
97% |
349
467.9 IPS |
|
|
Machine Translation (SP)
|
100% |
478
8.24 IPS |
|
|
Machine Translation (HP)
|
100% |
228
3.93 IPS |
|
|
Machine Translation (Q)
|
68% |
462
8.92 IPS |