| Upload Date | December 07 2025 04:54 AM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 580 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Z590M Pro4 |
| Motherboard | ASRock Z590M Pro4 |
| Power Plan | Power saver |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10600K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2913
541.7 IPS |
|
|
Image Classification (HP)
|
100% |
3099
576.3 IPS |
|
|
Image Classification (Q)
|
100% |
2292
426.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3258
52.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3877
62.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3118
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
51553
60.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
55778
65.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
41994
49.2 IPS |
|
|
Object Detection (SP)
|
100% |
3245
257.4 IPS |
|
|
Object Detection (HP)
|
100% |
3237
256.8 IPS |
|
|
Object Detection (Q)
|
88% |
2610
209.2 IPS |
|
|
Face Detection (SP)
|
100% |
8657
102.9 IPS |
|
|
Face Detection (HP)
|
100% |
12179
144.7 IPS |
|
|
Face Detection (Q)
|
97% |
7096
84.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18043
139.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19013
146.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
13124
105.2 IPS |
|
|
Style Transfer (SP)
|
100% |
78825
101.3 IPS |
|
|
Style Transfer (HP)
|
100% |
86514
111.2 IPS |
|
|
Style Transfer (Q)
|
98% |
62387
80.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10887
402.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12312
454.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7332
271.5 IPS |
|
|
Text Classification (SP)
|
100% |
1289
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1063
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
660
883.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1278
22.1 IPS |
|
|
Machine Translation (Q)
|
70% |
736
13.8 IPS |