| User | ai-alec |
| Upload Date | March 18 2025 03:55 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870E Taichi |
| Motherboard | ASRock X870E Taichi |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3891
723.5 IPS |
|
|
Image Classification (HP)
|
100% |
803
149.3 IPS |
|
|
Image Classification (Q)
|
99% |
10782
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2280
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1219
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4920
80.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16078
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10181
11.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
68339
80.1 IPS |
|
|
Object Detection (SP)
|
100% |
3569
283.1 IPS |
|
|
Object Detection (HP)
|
100% |
1015
80.5 IPS |
|
|
Object Detection (Q)
|
86% |
11066
889.4 IPS |
|
|
Face Detection (SP)
|
100% |
6512
77.4 IPS |
|
|
Face Detection (HP)
|
100% |
2120
25.2 IPS |
|
|
Face Detection (Q)
|
97% |
13453
160.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11929
91.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3386
26.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
21997
175.5 IPS |
|
|
Style Transfer (SP)
|
100% |
37996
48.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31791
40.9 IPS |
|
|
Style Transfer (Q)
|
98% |
22677
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4429
163.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3027
111.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6347
235.0 IPS |
|
|
Text Classification (SP)
|
100% |
2201
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
743
992.2 IPS |
|
|
Text Classification (Q)
|
97% |
1739
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4027
69.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1040
17.9 IPS |
|
|
Machine Translation (Q)
|
65% |
6445
129.5 IPS |