| User | Kaliz |
| Upload Date | September 02 2024 12:39 AM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650E Taichi Lite |
| Motherboard | ASRock B650E Taichi Lite |
| Power Plan | Hoge prestaties |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4525
841.6 IPS |
|
|
Image Classification (HP)
|
100% |
240
44.7 IPS |
|
|
Image Classification (Q)
|
99% |
9274
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3116
50.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
415
6.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
4800
78.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17752
20.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
13307
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
54117
63.4 IPS |
|
|
Object Detection (SP)
|
100% |
5376
426.4 IPS |
|
|
Object Detection (HP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (Q)
|
88% |
4896
392.5 IPS |
|
|
Face Detection (SP)
|
100% |
6210
73.8 IPS |
|
|
Face Detection (HP)
|
100% |
499
5.93 IPS |
|
|
Face Detection (Q)
|
97% |
8122
96.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17153
132.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1641
12.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
18625
150.1 IPS |
|
|
Style Transfer (SP)
|
100% |
39466
50.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28880
37.1 IPS |
|
|
Style Transfer (Q)
|
98% |
43990
56.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6556
242.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5165
190.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7487
277.2 IPS |
|
|
Text Classification (SP)
|
100% |
3477
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1197
1.60 KIPS |
|
|
Text Classification (Q)
|
97% |
2742
3.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4741
81.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1054
18.2 IPS |
|
|
Machine Translation (Q)
|
60% |
4931
110.0 IPS |