| User | MrCrispr |
| Upload Date | September 16 2024 07:50 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2867
533.2 IPS |
|
|
Image Classification (HP)
|
100% |
859
159.7 IPS |
|
|
Image Classification (Q)
|
99% |
7100
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2776
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1454
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4214
68.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
31016
36.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18269
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
85286
100.0 IPS |
|
|
Object Detection (SP)
|
100% |
3598
285.4 IPS |
|
|
Object Detection (HP)
|
100% |
1147
91.0 IPS |
|
|
Object Detection (Q)
|
88% |
3589
287.7 IPS |
|
|
Face Detection (SP)
|
100% |
5529
65.7 IPS |
|
|
Face Detection (HP)
|
100% |
2658
31.6 IPS |
|
|
Face Detection (Q)
|
97% |
7638
91.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14526
111.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4460
34.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
15770
126.2 IPS |
|
|
Style Transfer (SP)
|
100% |
53604
68.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40730
52.4 IPS |
|
|
Style Transfer (Q)
|
98% |
58488
75.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5529
204.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3780
139.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7240
268.1 IPS |
|
|
Text Classification (SP)
|
100% |
2429
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1022
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
621
831.7 IPS |
|
|
Machine Translation (SP)
|
100% |
4391
75.6 IPS |
|
|
Machine Translation (HP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (Q)
|
60% |
4043
90.2 IPS |