| User | Shifter |
| Upload Date | February 05 2026 09:42 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS PRO |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS PRO |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17922
3.33 KIPS |
|
|
Image Classification (HP)
|
100% |
19725
3.67 KIPS |
|
|
Image Classification (Q)
|
99% |
16160
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28252
458.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
34140
553.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
25772
419.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
250783
292.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
726991
848.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
223919
262.3 IPS |
|
|
Object Detection (SP)
|
100% |
15866
1.26 KIPS |
|
|
Object Detection (HP)
|
99% |
23595
1.87 KIPS |
|
|
Object Detection (Q)
|
87% |
14335
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
56757
674.4 IPS |
|
|
Face Detection (HP)
|
100% |
66943
795.4 IPS |
|
|
Face Detection (Q)
|
97% |
49532
590.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
93947
723.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
136768
1.05 KIPS |
|
|
Depth Estimation (Q)
|
77% |
76514
613.2 IPS |
|
|
Style Transfer (SP)
|
100% |
444979
572.0 IPS |
|
|
Style Transfer (HP)
|
100% |
769108
988.7 IPS |
|
|
Style Transfer (Q)
|
98% |
400725
516.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55948
2.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87779
3.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46453
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
4851
6.47 KIPS |
|
|
Text Classification (HP)
|
100% |
5222
6.97 KIPS |
|
|
Text Classification (Q)
|
97% |
3453
4.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
7374
127.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7464
128.6 IPS |
|
|
Machine Translation (Q)
|
70% |
4195
78.7 IPS |