| User | lcsj65 |
| Upload Date | March 06 2026 05:28 PM |
| Views | 2 |
| 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% |
325
60.4 IPS |
|
|
Image Classification (HP)
|
100% |
143
26.6 IPS |
|
|
Image Classification (Q)
|
96% |
496
92.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
270
4.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
196
3.17 IPS |
|
|
Image Segmentation (Q)
|
97% |
646
10.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
786
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
998
1.16 IPS |
|
|
Pose Estimation (Q)
|
86% |
1198
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
670
53.1 IPS |
|
|
Object Detection (HP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (Q)
|
58% |
432
47.2 IPS |
|
|
Face Detection (SP)
|
100% |
1484
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
503
5.97 IPS |
|
|
Face Detection (Q)
|
96% |
1273
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1734
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
631
4.86 IPS |
|
|
Depth Estimation (Q)
|
78% |
1283
10.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3222
4.14 IPS |
|
|
Style Transfer (HP)
|
100% |
2594
3.33 IPS |
|
|
Style Transfer (Q)
|
87% |
2476
3.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
640
23.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
533
19.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
630
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
452
602.7 IPS |
|
|
Text Classification (HP)
|
100% |
213
284.3 IPS |
|
|
Text Classification (Q)
|
97% |
353
472.6 IPS |
|
|
Machine Translation (SP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
247
4.26 IPS |
|
|
Machine Translation (Q)
|
68% |
669
12.9 IPS |