| Upload Date | November 23 2025 01:38 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP Z440 Workstation |
| Motherboard | Hewlett-Packard 212B |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697A v4 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5604
1.04 KIPS |
|
|
Image Classification (HP)
|
99% |
8818
1.64 KIPS |
|
|
Image Classification (Q)
|
100% |
4531
842.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
12688
205.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16633
269.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9402
152.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
123965
144.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
326299
380.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
87600
102.6 IPS |
|
|
Object Detection (SP)
|
100% |
8523
676.1 IPS |
|
|
Object Detection (HP)
|
100% |
12389
982.7 IPS |
|
|
Object Detection (Q)
|
85% |
6286
505.7 IPS |
|
|
Face Detection (SP)
|
100% |
20990
249.4 IPS |
|
|
Face Detection (HP)
|
100% |
28501
338.7 IPS |
|
|
Face Detection (Q)
|
97% |
15717
187.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
45400
349.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
78465
604.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
28791
230.7 IPS |
|
|
Style Transfer (SP)
|
100% |
200033
257.1 IPS |
|
|
Style Transfer (HP)
|
100% |
444272
571.1 IPS |
|
|
Style Transfer (Q)
|
98% |
140915
181.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24560
906.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27761
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14362
531.8 IPS |
|
|
Text Classification (SP)
|
100% |
1881
2.51 KIPS |
|
|
Text Classification (HP)
|
99% |
2434
3.25 KIPS |
|
|
Text Classification (Q)
|
97% |
873
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2914
50.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2909
50.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1191
22.3 IPS |