| User | nimblebits |
| Upload Date | September 06 2024 10:04 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A580 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z790 PG Lightning |
| Motherboard | ASRock Z790 PG Lightning |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4921
915.2 IPS |
|
|
Image Classification (HP)
|
100% |
4689
872.0 IPS |
|
|
Image Classification (Q)
|
99% |
4076
760.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7197
116.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
11008
178.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6378
103.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
64958
75.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
98836
115.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
53347
62.5 IPS |
|
|
Object Detection (SP)
|
100% |
6385
506.5 IPS |
|
|
Object Detection (HP)
|
99% |
6136
488.1 IPS |
|
|
Object Detection (Q)
|
89% |
5285
423.0 IPS |
|
|
Face Detection (SP)
|
100% |
14451
171.7 IPS |
|
|
Face Detection (HP)
|
87% |
13444
161.7 IPS |
|
|
Face Detection (Q)
|
97% |
10924
130.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27205
209.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
27716
213.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
21115
170.1 IPS |
|
|
Style Transfer (SP)
|
100% |
143738
184.8 IPS |
|
|
Style Transfer (HP)
|
29% |
12240
222.8 IPS |
|
|
Style Transfer (Q)
|
98% |
110024
141.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15923
587.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20421
754.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11198
414.6 IPS |
|
|
Text Classification (SP)
|
86% |
828
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (Q)
|
83% |
634
862.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1993
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1870
32.2 IPS |
|
|
Machine Translation (Q)
|
60% |
956
21.3 IPS |