User | aeonsim |
Upload Date | July 25 2025 08:45 AM |
Views | 6 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | AMD Radeon RX 9070 XT |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. B650 GAMING X AX |
Motherboard | Gigabyte Technology Co., Ltd. B650 GAMING X AX |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 9 7900 |
Topology | 1 Processor, 12 Cores, 24 Threads |
Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
Base Frequency | 3.70 GHz |
Cluster 1 | 12 Cores |
Memory Information | |
---|---|
Size | 64.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
17744
3.30 KIPS |
|
Image Classification (HP)
|
100% |
18918
3.52 KIPS |
|
Image Classification (Q)
|
99% |
15731
2.93 KIPS |
|
Image Segmentation (SP)
|
100% |
30843
500.0 IPS |
|
Image Segmentation (HP)
|
100% |
38141
618.3 IPS |
|
Image Segmentation (Q)
|
98% |
28637
465.7 IPS |
|
Pose Estimation (SP)
|
100% |
212644
248.1 IPS |
|
Pose Estimation (HP)
|
100% |
651959
760.7 IPS |
|
Pose Estimation (Q)
|
96% |
189508
222.0 IPS |
|
Object Detection (SP)
|
100% |
18458
1.46 KIPS |
|
Object Detection (HP)
|
99% |
22897
1.82 KIPS |
|
Object Detection (Q)
|
87% |
16551
1.33 KIPS |
|
Face Detection (SP)
|
100% |
57717
685.8 IPS |
|
Face Detection (HP)
|
100% |
63518
754.7 IPS |
|
Face Detection (Q)
|
97% |
50509
602.2 IPS |
|
Depth Estimation (SP)
|
100% |
88091
678.7 IPS |
|
Depth Estimation (HP)
|
99% |
132317
1.02 KIPS |
|
Depth Estimation (Q)
|
77% |
71556
573.4 IPS |
|
Style Transfer (SP)
|
100% |
404257
519.7 IPS |
|
Style Transfer (HP)
|
100% |
725882
933.1 IPS |
|
Style Transfer (Q)
|
98% |
369879
476.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
55132
2.04 KIPS |
|
Image Super-Resolution (HP)
|
100% |
93835
3.46 KIPS |
|
Image Super-Resolution (Q)
|
99% |
44112
1.63 KIPS |
|
Text Classification (SP)
|
100% |
5105
6.81 KIPS |
|
Text Classification (HP)
|
100% |
5285
7.05 KIPS |
|
Text Classification (Q)
|
97% |
3370
4.51 KIPS |
|
Machine Translation (SP)
|
100% |
8224
141.7 IPS |
|
Machine Translation (HP)
|
100% |
8021
138.2 IPS |
|
Machine Translation (Q)
|
70% |
4518
84.7 IPS |