| Upload Date | April 27 2025 03:35 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASRock Z790 Lightning WiFi |
| Motherboard | ASRock Z790 Lightning WiFi |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13932
2.59 KIPS |
|
|
Image Classification (HP)
|
100% |
20149
3.75 KIPS |
|
|
Image Classification (Q)
|
100% |
12258
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27587
447.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
39594
641.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
24634
400.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
227285
265.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
680412
793.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
195054
228.5 IPS |
|
|
Object Detection (SP)
|
100% |
17829
1.41 KIPS |
|
|
Object Detection (HP)
|
100% |
26363
2.09 KIPS |
|
|
Object Detection (Q)
|
86% |
15350
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
52228
620.6 IPS |
|
|
Face Detection (HP)
|
100% |
74959
890.7 IPS |
|
|
Face Detection (Q)
|
97% |
43083
513.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
86856
669.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
166877
1.29 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63657
508.3 IPS |
|
|
Style Transfer (SP)
|
100% |
324689
417.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1073704
1.38 KIPS |
|
|
Style Transfer (Q)
|
98% |
288348
371.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53511
1.98 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81544
3.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39655
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
3873
5.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4750
6.34 KIPS |
|
|
Text Classification (Q)
|
97% |
2302
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
6804
117.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6928
119.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2957
55.5 IPS |