| User | iantm |
| Upload Date | December 07 2025 05:05 PM |
| Views | 8 |
| 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% |
3087
574.1 IPS |
|
|
Image Classification (HP)
|
100% |
338
62.9 IPS |
|
|
Image Classification (Q)
|
96% |
3035
566.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
536
8.68 IPS |
|
|
Image Segmentation (Q)
|
97% |
3218
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7612
8.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
5669
6.62 IPS |
|
|
Pose Estimation (Q)
|
86% |
7794
9.21 IPS |
|
|
Object Detection (SP)
|
100% |
2912
231.0 IPS |
|
|
Object Detection (HP)
|
100% |
452
35.8 IPS |
|
|
Object Detection (Q)
|
58% |
2070
226.2 IPS |
|
|
Face Detection (SP)
|
100% |
6456
76.7 IPS |
|
|
Face Detection (HP)
|
100% |
1020
12.1 IPS |
|
|
Face Detection (Q)
|
96% |
5431
64.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8528
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1433
11.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
7086
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15382
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12278
15.8 IPS |
|
|
Style Transfer (Q)
|
87% |
11723
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2268
83.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1777
65.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2633
97.6 IPS |
|
|
Text Classification (SP)
|
100% |
1041
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
471
628.2 IPS |
|
|
Text Classification (Q)
|
97% |
310
415.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1568
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
488
8.40 IPS |
|
|
Machine Translation (Q)
|
68% |
1605
31.0 IPS |