| User | SPiffY226 |
| Upload Date | May 20 2025 05:38 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z790I Lightning WiFi |
| Motherboard | ASRock Z790I Lightning WiFi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14390
2.68 KIPS |
|
|
Image Classification (HP)
|
100% |
20540
3.82 KIPS |
|
|
Image Classification (Q)
|
100% |
12371
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25549
414.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
35002
567.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
22941
373.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
229239
267.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
668086
779.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
198235
232.2 IPS |
|
|
Object Detection (SP)
|
100% |
17829
1.41 KIPS |
|
|
Object Detection (HP)
|
100% |
26175
2.08 KIPS |
|
|
Object Detection (Q)
|
86% |
15195
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
49888
592.8 IPS |
|
|
Face Detection (HP)
|
100% |
70412
836.6 IPS |
|
|
Face Detection (Q)
|
97% |
39181
467.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
89171
687.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
164163
1.26 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65964
526.8 IPS |
|
|
Style Transfer (SP)
|
100% |
339113
435.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1006559
1.29 KIPS |
|
|
Style Transfer (Q)
|
98% |
278536
359.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53724
1.98 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80336
2.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40658
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
3964
5.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4830
6.45 KIPS |
|
|
Text Classification (Q)
|
97% |
2372
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
6199
106.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6275
108.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2807
52.7 IPS |