| User | iantm |
| Upload Date | January 31 2026 02:11 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro P5000 |
| 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% |
2185
406.3 IPS |
|
|
Image Classification (HP)
|
100% |
3358
624.5 IPS |
|
|
Image Classification (Q)
|
99% |
1952
364.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5919
95.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5748
93.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4681
76.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
65941
76.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
36734
42.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
50286
58.9 IPS |
|
|
Object Detection (SP)
|
100% |
2961
234.9 IPS |
|
|
Object Detection (HP)
|
100% |
4555
361.3 IPS |
|
|
Object Detection (Q)
|
84% |
2547
205.4 IPS |
|
|
Face Detection (SP)
|
100% |
6022
71.5 IPS |
|
|
Face Detection (HP)
|
100% |
9133
108.5 IPS |
|
|
Face Detection (Q)
|
97% |
5288
63.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19829
152.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17316
133.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
14908
119.2 IPS |
|
|
Style Transfer (SP)
|
100% |
103664
133.3 IPS |
|
|
Style Transfer (HP)
|
100% |
58343
75.0 IPS |
|
|
Style Transfer (Q)
|
98% |
76868
99.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17810
657.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13579
501.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10658
394.6 IPS |
|
|
Text Classification (SP)
|
100% |
1401
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1817
2.42 KIPS |
|
|
Text Classification (Q)
|
97% |
838
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2994
51.6 IPS |
|
|
Machine Translation (HP)
|
96% |
2962
51.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1411
26.5 IPS |