| User | MrCrispr |
| Upload Date | August 16 2024 04:51 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII HERO (WI-FI) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1198
222.8 IPS |
|
|
Image Classification (HP)
|
100% |
137
25.5 IPS |
|
|
Image Classification (Q)
|
97% |
2882
537.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1662
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
235
3.81 IPS |
|
|
Image Segmentation (Q)
|
97% |
2510
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7350
8.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
5037
5.88 IPS |
|
|
Pose Estimation (Q)
|
87% |
18155
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
1535
121.7 IPS |
|
|
Object Detection (HP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (Q)
|
86% |
1642
132.0 IPS |
|
|
Face Detection (SP)
|
100% |
2146
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
289
3.44 IPS |
|
|
Face Detection (Q)
|
96% |
3416
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5940
45.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
928
7.15 IPS |
|
|
Depth Estimation (Q)
|
76% |
6371
51.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14876
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12919
16.6 IPS |
|
|
Style Transfer (Q)
|
87% |
15231
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1680
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1449
53.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2995
111.0 IPS |
|
|
Text Classification (SP)
|
100% |
1221
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
502
670.6 IPS |
|
|
Text Classification (Q)
|
97% |
398
532.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1822
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
530
9.14 IPS |
|
|
Machine Translation (Q)
|
60% |
1892
42.2 IPS |