| User | aaoossaleh |
| Upload Date | April 08 2026 09:31 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 EAGLE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 EAGLE AX |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13473
2.51 KIPS |
|
|
Image Classification (HP)
|
100% |
13287
2.47 KIPS |
|
|
Image Classification (Q)
|
99% |
10801
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24212
392.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19506
316.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
19542
317.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
222539
259.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
340236
397.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
180477
211.5 IPS |
|
|
Object Detection (SP)
|
100% |
15181
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
15712
1.25 KIPS |
|
|
Object Detection (Q)
|
87% |
12510
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
44052
523.4 IPS |
|
|
Face Detection (HP)
|
100% |
47486
564.2 IPS |
|
|
Face Detection (Q)
|
97% |
33266
396.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
75590
582.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
80347
619.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
55604
446.5 IPS |
|
|
Style Transfer (SP)
|
100% |
379102
487.3 IPS |
|
|
Style Transfer (HP)
|
100% |
508583
653.8 IPS |
|
|
Style Transfer (Q)
|
98% |
288428
371.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44162
1.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50351
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31893
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
4360
5.82 KIPS |
|
|
Text Classification (HP)
|
100% |
4529
6.04 KIPS |
|
|
Text Classification (Q)
|
97% |
2705
3.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5959
102.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6462
111.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3108
58.3 IPS |