| Upload Date | December 10 2025 06:27 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Hewlett-Packard HP Z840 Workstation |
| Motherboard | Hewlett-Packard 2129 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2678 v3 |
| Topology | 2 Processors, 24 Cores, 48 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5308
987.1 IPS |
|
|
Image Classification (HP)
|
99% |
7648
1.43 KIPS |
|
|
Image Classification (Q)
|
100% |
4267
793.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
10258
166.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13861
224.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8768
142.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
122800
143.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
279039
325.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
100139
117.3 IPS |
|
|
Object Detection (SP)
|
100% |
7633
605.5 IPS |
|
|
Object Detection (HP)
|
100% |
10160
805.9 IPS |
|
|
Object Detection (Q)
|
85% |
6177
496.9 IPS |
|
|
Face Detection (SP)
|
100% |
22358
265.7 IPS |
|
|
Face Detection (HP)
|
100% |
28633
340.2 IPS |
|
|
Face Detection (Q)
|
97% |
15522
185.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
48818
376.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
72434
558.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
31178
249.8 IPS |
|
|
Style Transfer (SP)
|
100% |
219393
282.0 IPS |
|
|
Style Transfer (HP)
|
100% |
465992
599.0 IPS |
|
|
Style Transfer (Q)
|
98% |
166898
215.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24807
916.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27932
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14811
548.4 IPS |
|
|
Text Classification (SP)
|
100% |
1581
2.11 KIPS |
|
|
Text Classification (HP)
|
99% |
1747
2.33 KIPS |
|
|
Text Classification (Q)
|
97% |
950
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2875
49.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2846
49.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1247
23.4 IPS |