User | aeonsim |
Upload Date | July 25 2025 08:41 AM |
Views | 4 |
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% |
18649
3.47 KIPS |
|
Image Classification (HP)
|
100% |
20476
3.81 KIPS |
|
Image Classification (Q)
|
99% |
16184
3.02 KIPS |
|
Image Segmentation (SP)
|
100% |
31706
514.0 IPS |
|
Image Segmentation (HP)
|
100% |
40607
658.3 IPS |
|
Image Segmentation (Q)
|
98% |
28855
469.2 IPS |
|
Pose Estimation (SP)
|
100% |
215912
251.9 IPS |
|
Pose Estimation (HP)
|
100% |
677460
790.5 IPS |
|
Pose Estimation (Q)
|
96% |
197396
231.2 IPS |
|
Object Detection (SP)
|
100% |
19260
1.53 KIPS |
|
Object Detection (HP)
|
99% |
23412
1.86 KIPS |
|
Object Detection (Q)
|
87% |
16437
1.32 KIPS |
|
Face Detection (SP)
|
100% |
58571
695.9 IPS |
|
Face Detection (HP)
|
100% |
68042
808.5 IPS |
|
Face Detection (Q)
|
97% |
51194
610.4 IPS |
|
Depth Estimation (SP)
|
100% |
89637
690.6 IPS |
|
Depth Estimation (HP)
|
99% |
134108
1.03 KIPS |
|
Depth Estimation (Q)
|
77% |
73436
588.5 IPS |
|
Style Transfer (SP)
|
100% |
426573
548.4 IPS |
|
Style Transfer (HP)
|
100% |
792037
1.02 KIPS |
|
Style Transfer (Q)
|
98% |
372359
480.1 IPS |
|
Image Super-Resolution (SP)
|
100% |
57005
2.10 KIPS |
|
Image Super-Resolution (HP)
|
100% |
97867
3.61 KIPS |
|
Image Super-Resolution (Q)
|
99% |
45196
1.67 KIPS |
|
Text Classification (SP)
|
100% |
5228
6.98 KIPS |
|
Text Classification (HP)
|
100% |
5373
7.17 KIPS |
|
Text Classification (Q)
|
97% |
3479
4.66 KIPS |
|
Machine Translation (SP)
|
100% |
8814
151.8 IPS |
|
Machine Translation (HP)
|
100% |
8771
151.1 IPS |
|
Machine Translation (Q)
|
70% |
4714
88.4 IPS |