| User | JeanCarrasco |
| Upload Date | August 26 2025 04:12 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870E Taichi Lite |
| Motherboard | ASRock X870E Taichi Lite |
| Power Plan | Dynamic Boost Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9388
1.75 KIPS |
|
|
Image Classification (HP)
|
100% |
1371
254.9 IPS |
|
|
Image Classification (Q)
|
99% |
15471
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2883
46.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2026
32.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
19438
316.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19662
22.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13818
16.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
57212
67.1 IPS |
|
|
Object Detection (SP)
|
100% |
9344
741.1 IPS |
|
|
Object Detection (HP)
|
100% |
1736
137.7 IPS |
|
|
Object Detection (Q)
|
86% |
16253
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
22827
271.2 IPS |
|
|
Face Detection (HP)
|
100% |
3917
46.5 IPS |
|
|
Face Detection (Q)
|
97% |
17357
206.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
24513
188.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5315
41.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
40009
319.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43573
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29639
38.1 IPS |
|
|
Style Transfer (Q)
|
98% |
51020
65.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6879
254.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5516
203.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7748
286.9 IPS |
|
|
Text Classification (SP)
|
100% |
3807
5.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1653
2.21 KIPS |
|
|
Text Classification (Q)
|
97% |
2801
3.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
6578
113.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1786
30.8 IPS |
|
|
Machine Translation (Q)
|
65% |
6491
130.4 IPS |