| Upload Date | January 14 2026 04:27 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 760M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| Power Plan | Mximo rendimiento |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8600G |
| Topology | 1 Processor, 6 Cores |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 5.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3236
601.8 IPS |
|
|
Image Classification (HP)
|
100% |
4359
810.6 IPS |
|
|
Image Classification (Q)
|
100% |
2960
550.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3759
60.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4186
67.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3023
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
39101
45.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
79072
92.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
28083
32.9 IPS |
|
|
Object Detection (SP)
|
100% |
2656
210.7 IPS |
|
|
Object Detection (HP)
|
100% |
3704
293.8 IPS |
|
|
Object Detection (Q)
|
87% |
2458
197.4 IPS |
|
|
Face Detection (SP)
|
100% |
5809
69.0 IPS |
|
|
Face Detection (HP)
|
100% |
11018
130.9 IPS |
|
|
Face Detection (Q)
|
97% |
4831
57.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17427
134.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
26778
206.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
13365
107.2 IPS |
|
|
Style Transfer (SP)
|
100% |
63366
81.5 IPS |
|
|
Style Transfer (HP)
|
100% |
109077
140.2 IPS |
|
|
Style Transfer (Q)
|
98% |
43059
55.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13088
483.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21865
807.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8601
318.5 IPS |
|
|
Text Classification (SP)
|
100% |
2703
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
3592
4.79 KIPS |
|
|
Text Classification (Q)
|
97% |
1864
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3372
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3662
63.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1792
33.6 IPS |