| User | iantm |
| Upload Date | January 31 2026 02:09 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2690 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP Z440 Workstation |
| Motherboard | Hewlett-Packard 212B |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2690 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3042
565.7 IPS |
|
|
Image Classification (HP)
|
100% |
329
61.1 IPS |
|
|
Image Classification (Q)
|
96% |
2895
540.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
522
8.47 IPS |
|
|
Image Segmentation (Q)
|
97% |
3194
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7087
8.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
5399
6.30 IPS |
|
|
Pose Estimation (Q)
|
86% |
7586
8.97 IPS |
|
|
Object Detection (SP)
|
100% |
2993
237.4 IPS |
|
|
Object Detection (HP)
|
100% |
461
36.6 IPS |
|
|
Object Detection (Q)
|
58% |
2056
224.6 IPS |
|
|
Face Detection (SP)
|
100% |
5010
59.5 IPS |
|
|
Face Detection (HP)
|
100% |
991
11.8 IPS |
|
|
Face Detection (Q)
|
96% |
5197
62.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8200
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1345
10.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
6902
55.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16018
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11946
15.4 IPS |
|
|
Style Transfer (Q)
|
87% |
11279
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2249
83.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1734
64.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2632
97.5 IPS |
|
|
Text Classification (SP)
|
100% |
1049
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
461
615.8 IPS |
|
|
Text Classification (Q)
|
97% |
310
414.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1536
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
477
8.21 IPS |
|
|
Machine Translation (Q)
|
68% |
1545
29.9 IPS |