| User | buranbr |
| Upload Date | April 12 2025 08:57 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS WIFI |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3737
695.0 IPS |
|
|
Image Classification (HP)
|
100% |
562
104.6 IPS |
|
|
Image Classification (Q)
|
99% |
8354
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2334
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
770
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4064
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11618
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
7903
9.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
34642
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
3912
310.3 IPS |
|
|
Object Detection (HP)
|
100% |
716
56.8 IPS |
|
|
Object Detection (Q)
|
86% |
9930
798.1 IPS |
|
|
Face Detection (SP)
|
100% |
7370
87.6 IPS |
|
|
Face Detection (HP)
|
100% |
1441
17.1 IPS |
|
|
Face Detection (Q)
|
97% |
11134
132.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10789
83.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2641
20.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
19094
152.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22737
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18619
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
35902
46.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2533
93.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2224
82.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3959
146.6 IPS |
|
|
Text Classification (SP)
|
100% |
1501
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
724
965.9 IPS |
|
|
Text Classification (Q)
|
97% |
1439
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2819
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4967
99.8 IPS |