| Upload Date | May 01 2025 08:28 PM |
| Views | 13 |
| 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. B650E AORUS ELITE X AX ICE |
| Motherboard | Gigabyte Technology Co., Ltd. B650E AORUS ELITE X AX ICE |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17672
3.29 KIPS |
|
|
Image Classification (HP)
|
100% |
19905
3.70 KIPS |
|
|
Image Classification (Q)
|
99% |
16333
3.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21203
343.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24904
403.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
28211
458.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
220740
257.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
688685
803.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
199318
233.5 IPS |
|
|
Object Detection (SP)
|
100% |
17580
1.39 KIPS |
|
|
Object Detection (HP)
|
99% |
23875
1.89 KIPS |
|
|
Object Detection (Q)
|
87% |
18288
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
59401
705.8 IPS |
|
|
Face Detection (HP)
|
100% |
74300
882.8 IPS |
|
|
Face Detection (Q)
|
97% |
54064
644.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
91287
703.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
133723
1.03 KIPS |
|
|
Depth Estimation (Q)
|
77% |
75754
607.1 IPS |
|
|
Style Transfer (SP)
|
100% |
420429
540.5 IPS |
|
|
Style Transfer (HP)
|
100% |
783114
1.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
381583
492.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57357
2.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
94030
3.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46896
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
5031
6.72 KIPS |
|
|
Text Classification (HP)
|
100% |
5340
7.13 KIPS |
|
|
Text Classification (Q)
|
97% |
3468
4.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
7833
134.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8025
138.2 IPS |
|
|
Machine Translation (Q)
|
70% |
4458
83.6 IPS |