| Upload Date | February 21 2025 09:54 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS MASTER |
| Power Plan | High performance |
| 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% |
16062
2.99 KIPS |
|
|
Image Classification (HP)
|
100% |
17139
3.19 KIPS |
|
|
Image Classification (Q)
|
99% |
13749
2.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22313
361.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20499
332.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
21046
342.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
277536
323.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
400166
466.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
251031
294.0 IPS |
|
|
Object Detection (SP)
|
100% |
18988
1.51 KIPS |
|
|
Object Detection (HP)
|
99% |
20444
1.62 KIPS |
|
|
Object Detection (Q)
|
87% |
16476
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
49022
582.5 IPS |
|
|
Face Detection (HP)
|
100% |
54194
643.9 IPS |
|
|
Face Detection (Q)
|
97% |
42866
511.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
76762
591.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95524
736.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
60402
484.0 IPS |
|
|
Style Transfer (SP)
|
100% |
461779
593.6 IPS |
|
|
Style Transfer (HP)
|
100% |
654406
841.2 IPS |
|
|
Style Transfer (Q)
|
98% |
405206
522.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54103
2.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63237
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41543
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
4606
6.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4532
6.05 KIPS |
|
|
Text Classification (Q)
|
97% |
2887
3.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4937
85.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5054
87.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2761
51.8 IPS |