| User | meoow |
| Upload Date | August 23 2025 05:38 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2739
509.4 IPS |
|
|
Image Classification (HP)
|
100% |
545
101.4 IPS |
|
|
Image Classification (Q)
|
96% |
5595
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1868
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
5473
89.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7230
8.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
5541
6.47 IPS |
|
|
Pose Estimation (Q)
|
86% |
19133
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
2771
219.8 IPS |
|
|
Object Detection (HP)
|
100% |
693
55.0 IPS |
|
|
Object Detection (Q)
|
58% |
4129
451.1 IPS |
|
|
Face Detection (SP)
|
100% |
6767
80.4 IPS |
|
|
Face Detection (HP)
|
100% |
1502
17.8 IPS |
|
|
Face Detection (Q)
|
96% |
9322
111.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8248
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2202
17.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
15288
122.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16684
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13575
17.5 IPS |
|
|
Style Transfer (Q)
|
87% |
23204
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2085
77.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1747
64.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3985
147.7 IPS |
|
|
Text Classification (SP)
|
100% |
1365
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
671
895.8 IPS |
|
|
Text Classification (Q)
|
97% |
407
544.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2168
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
868
15.0 IPS |
|
|
Machine Translation (Q)
|
68% |
2354
45.5 IPS |