| User | arcashton |
| Upload Date | August 17 2024 01:40 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING WIFI II |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1164
216.4 IPS |
|
|
Image Classification (HP)
|
100% |
105
19.6 IPS |
|
|
Image Classification (Q)
|
97% |
2058
384.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
921
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
147
2.38 IPS |
|
|
Image Segmentation (Q)
|
97% |
1920
31.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6770
7.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
4531
5.29 IPS |
|
|
Pose Estimation (Q)
|
87% |
7717
9.11 IPS |
|
|
Object Detection (SP)
|
100% |
1368
108.5 IPS |
|
|
Object Detection (HP)
|
100% |
148
11.7 IPS |
|
|
Object Detection (Q)
|
86% |
1153
92.7 IPS |
|
|
Face Detection (SP)
|
100% |
2018
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
224
2.66 IPS |
|
|
Face Detection (Q)
|
96% |
2932
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5250
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
708
5.45 IPS |
|
|
Depth Estimation (Q)
|
76% |
5119
41.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13900
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11067
14.2 IPS |
|
|
Style Transfer (Q)
|
87% |
12227
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1631
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1432
52.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1710
63.4 IPS |
|
|
Text Classification (SP)
|
100% |
946
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
402
536.8 IPS |
|
|
Text Classification (Q)
|
97% |
805
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1251
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
454
7.82 IPS |
|
|
Machine Translation (Q)
|
60% |
1614
36.0 IPS |