| User | Kaliz |
| Upload Date | September 05 2024 09:20 PM |
| Views | 12 |
| 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% |
4526
841.7 IPS |
|
|
Image Classification (HP)
|
100% |
227
42.2 IPS |
|
|
Image Classification (Q)
|
99% |
9332
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2828
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
421
6.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
4947
80.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17596
20.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
13191
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
53588
62.8 IPS |
|
|
Object Detection (SP)
|
100% |
5309
421.1 IPS |
|
|
Object Detection (HP)
|
100% |
338
26.8 IPS |
|
|
Object Detection (Q)
|
88% |
4625
370.7 IPS |
|
|
Face Detection (SP)
|
100% |
5911
70.2 IPS |
|
|
Face Detection (HP)
|
100% |
491
5.84 IPS |
|
|
Face Detection (Q)
|
97% |
7880
94.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16814
129.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1651
12.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
17894
144.2 IPS |
|
|
Style Transfer (SP)
|
100% |
38668
49.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28556
36.7 IPS |
|
|
Style Transfer (Q)
|
98% |
42313
54.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6444
237.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5116
188.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7386
273.5 IPS |
|
|
Text Classification (SP)
|
100% |
3528
4.71 KIPS |
|
|
Text Classification (HP)
|
100% |
1201
1.60 KIPS |
|
|
Text Classification (Q)
|
97% |
2626
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4473
77.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1023
17.6 IPS |
|
|
Machine Translation (Q)
|
60% |
4412
98.4 IPS |