| User | Mackai |
| Upload Date | December 08 2024 12:38 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7800 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670E AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X670E AORUS MASTER |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10929
2.03 KIPS |
|
|
Image Classification (HP)
|
100% |
11963
2.22 KIPS |
|
|
Image Classification (Q)
|
100% |
9817
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11272
182.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8876
143.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10049
163.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
187099
218.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
275012
320.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
167753
196.6 IPS |
|
|
Object Detection (SP)
|
100% |
12859
1.02 KIPS |
|
|
Object Detection (HP)
|
99% |
13640
1.08 KIPS |
|
|
Object Detection (Q)
|
89% |
11262
901.9 IPS |
|
|
Face Detection (SP)
|
100% |
25525
303.3 IPS |
|
|
Face Detection (HP)
|
100% |
26152
310.7 IPS |
|
|
Face Detection (Q)
|
97% |
24953
297.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
65403
503.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
73097
563.2 IPS |
|
|
Depth Estimation (Q)
|
73% |
51290
420.3 IPS |
|
|
Style Transfer (SP)
|
100% |
328700
422.5 IPS |
|
|
Style Transfer (HP)
|
100% |
470314
604.6 IPS |
|
|
Style Transfer (Q)
|
98% |
286211
369.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36911
1.36 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50988
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29363
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3503
4.68 KIPS |
|
|
Text Classification (HP)
|
100% |
3432
4.58 KIPS |
|
|
Text Classification (Q)
|
97% |
2302
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2958
50.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2996
51.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1828
40.8 IPS |