| User | vladuna |
| Upload Date | January 21 2026 08:21 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon X5690 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. Precision WorkStation T3500 |
| Motherboard | Dell Inc. 09KPNV |
| CPU Information | |
|---|---|
| Name | Intel Xeon X5690 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
303
56.4 IPS |
|
|
Image Classification (HP)
|
100% |
132
24.6 IPS |
|
|
Image Classification (Q)
|
96% |
642
119.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
318
5.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (Q)
|
97% |
475
7.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
640
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
622
0.73 IPS |
|
|
Pose Estimation (Q)
|
86% |
1249
1.48 IPS |
|
|
Object Detection (SP)
|
100% |
317
25.2 IPS |
|
|
Object Detection (HP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (Q)
|
58% |
434
47.4 IPS |
|
|
Face Detection (SP)
|
100% |
930
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
389
4.62 IPS |
|
|
Face Detection (Q)
|
96% |
1374
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
778
6.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
444
3.42 IPS |
|
|
Depth Estimation (Q)
|
78% |
1431
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1608
2.07 IPS |
|
|
Style Transfer (HP)
|
100% |
1615
2.08 IPS |
|
|
Style Transfer (Q)
|
87% |
2699
3.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
335
12.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
372
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
580
21.5 IPS |
|
|
Text Classification (SP)
|
100% |
330
440.6 IPS |
|
|
Text Classification (HP)
|
100% |
183
243.8 IPS |
|
|
Text Classification (Q)
|
97% |
246
329.4 IPS |
|
|
Machine Translation (SP)
|
100% |
441
7.60 IPS |
|
|
Machine Translation (HP)
|
100% |
211
3.63 IPS |
|
|
Machine Translation (Q)
|
68% |
714
13.8 IPS |