| Upload Date | January 16 2026 07:00 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Colorful Technology And Development Co.,LTD BATTLE-AX B650M-PLUS |
| Motherboard | Colorful Technology And Development Co.,LTD BATTLE-AX B650M-PLUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16614
3.09 KIPS |
|
|
Image Classification (HP)
|
100% |
16921
3.15 KIPS |
|
|
Image Classification (Q)
|
99% |
14087
2.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28019
454.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24988
405.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
25224
410.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
300597
350.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
531937
620.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
263587
308.8 IPS |
|
|
Object Detection (SP)
|
100% |
18847
1.49 KIPS |
|
|
Object Detection (HP)
|
99% |
20579
1.63 KIPS |
|
|
Object Detection (Q)
|
87% |
16381
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
52016
618.1 IPS |
|
|
Face Detection (HP)
|
100% |
57272
680.5 IPS |
|
|
Face Detection (Q)
|
97% |
44984
536.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
79303
611.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
101396
781.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
62908
504.1 IPS |
|
|
Style Transfer (SP)
|
100% |
470578
604.9 IPS |
|
|
Style Transfer (HP)
|
100% |
744137
956.6 IPS |
|
|
Style Transfer (Q)
|
98% |
417984
539.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55523
2.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70468
2.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44910
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
4800
6.41 KIPS |
|
|
Text Classification (HP)
|
100% |
4493
6.00 KIPS |
|
|
Text Classification (Q)
|
97% |
2967
3.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
6779
116.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6923
119.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3305
62.0 IPS |