| User | jwatts721 |
| Upload Date | December 22 2025 12:00 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7800 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550M K |
| Motherboard | Gigabyte Technology Co., Ltd. B550M K |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8571
1.59 KIPS |
|
|
Image Classification (HP)
|
100% |
10093
1.88 KIPS |
|
|
Image Classification (Q)
|
99% |
7379
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14549
235.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12639
204.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
12644
205.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
155901
181.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
253793
296.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
133647
156.5 IPS |
|
|
Object Detection (SP)
|
100% |
8807
698.6 IPS |
|
|
Object Detection (HP)
|
99% |
10980
870.9 IPS |
|
|
Object Detection (Q)
|
87% |
7674
616.3 IPS |
|
|
Face Detection (SP)
|
100% |
28968
344.2 IPS |
|
|
Face Detection (HP)
|
100% |
30069
357.3 IPS |
|
|
Face Detection (Q)
|
97% |
24525
292.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
45217
348.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
60025
462.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
36755
294.5 IPS |
|
|
Style Transfer (SP)
|
100% |
281343
361.7 IPS |
|
|
Style Transfer (HP)
|
100% |
430578
553.5 IPS |
|
|
Style Transfer (Q)
|
98% |
239288
308.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29135
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38766
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20801
770.2 IPS |
|
|
Text Classification (SP)
|
100% |
2728
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2871
3.83 KIPS |
|
|
Text Classification (Q)
|
97% |
1420
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3263
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3331
57.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1690
31.7 IPS |