| User | StripeyMiata |
| Upload Date | February 05 2025 10:31 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6800 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. B450 AORUS ELITE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8305
1.54 KIPS |
|
|
Image Classification (HP)
|
100% |
8108
1.51 KIPS |
|
|
Image Classification (Q)
|
99% |
6723
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11848
192.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10146
164.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10255
166.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
124180
144.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
187451
218.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
104292
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
8667
687.5 IPS |
|
|
Object Detection (HP)
|
100% |
8876
704.1 IPS |
|
|
Object Detection (Q)
|
87% |
7237
581.2 IPS |
|
|
Face Detection (SP)
|
100% |
25998
308.9 IPS |
|
|
Face Detection (HP)
|
100% |
27713
329.3 IPS |
|
|
Face Detection (Q)
|
97% |
21048
251.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
49147
378.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
53042
408.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
36152
290.3 IPS |
|
|
Style Transfer (SP)
|
100% |
239348
307.7 IPS |
|
|
Style Transfer (HP)
|
100% |
315897
406.1 IPS |
|
|
Style Transfer (Q)
|
98% |
189548
244.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30310
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
37263
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21051
779.5 IPS |
|
|
Text Classification (SP)
|
100% |
1817
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2245
3.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1182
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3400
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3424
59.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1787
33.5 IPS |