| User | lcsj65 |
| Upload Date | March 07 2026 12:55 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2620 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. RAMPAGE IV GENE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2620 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
562
104.6 IPS |
|
|
Image Classification (HP)
|
100% |
161
30.0 IPS |
|
|
Image Classification (Q)
|
96% |
546
101.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
238
3.86 IPS |
|
|
Image Segmentation (Q)
|
97% |
712
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1263
1.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
964
1.13 IPS |
|
|
Pose Estimation (Q)
|
86% |
1107
1.31 IPS |
|
|
Object Detection (SP)
|
100% |
609
48.3 IPS |
|
|
Object Detection (HP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (Q)
|
58% |
395
43.1 IPS |
|
|
Face Detection (SP)
|
100% |
1395
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
470
5.58 IPS |
|
|
Face Detection (Q)
|
96% |
1206
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1581
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
585
4.51 IPS |
|
|
Depth Estimation (Q)
|
78% |
1174
9.35 IPS |
|
|
Style Transfer (SP)
|
100% |
2978
3.83 IPS |
|
|
Style Transfer (HP)
|
100% |
2420
3.11 IPS |
|
|
Style Transfer (Q)
|
87% |
2332
3.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
585
21.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
485
17.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
574
21.3 IPS |
|
|
Text Classification (SP)
|
100% |
417
556.3 IPS |
|
|
Text Classification (HP)
|
100% |
195
260.8 IPS |
|
|
Text Classification (Q)
|
97% |
323
432.7 IPS |
|
|
Machine Translation (SP)
|
100% |
599
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
228
3.92 IPS |
|
|
Machine Translation (Q)
|
68% |
623
12.0 IPS |