| Upload Date | October 24 2025 12:57 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z490 VISION G |
| Motherboard | Gigabyte Technology Co., Ltd. Z490 VISION G |
| Power Plan | Balanced |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7272
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
9874
1.84 KIPS |
|
|
Image Classification (Q)
|
100% |
5820
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9784
158.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10942
177.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7882
128.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
77306
90.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
284619
332.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
61894
72.5 IPS |
|
|
Object Detection (SP)
|
100% |
9614
762.6 IPS |
|
|
Object Detection (HP)
|
100% |
11708
928.7 IPS |
|
|
Object Detection (Q)
|
87% |
7830
628.5 IPS |
|
|
Face Detection (SP)
|
100% |
21667
257.5 IPS |
|
|
Face Detection (HP)
|
100% |
26721
317.5 IPS |
|
|
Face Detection (Q)
|
97% |
15945
190.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
56592
436.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
83629
644.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
33065
265.0 IPS |
|
|
Style Transfer (SP)
|
100% |
181417
233.2 IPS |
|
|
Style Transfer (HP)
|
100% |
439565
565.1 IPS |
|
|
Style Transfer (Q)
|
98% |
122263
157.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26450
976.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45698
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14235
527.1 IPS |
|
|
Text Classification (SP)
|
100% |
2619
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (Q)
|
97% |
1617
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2116
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2177
37.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1321
24.8 IPS |