X570 Taichi
Geekbench AI Score
1699
Single Precision Score
583
Half Precision Score
1849
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 27 2025 06:17 PM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | X570 Taichi |
| Motherboard | ASRock X570 Taichi |
| Power Plan | Energiesparmodus |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1269
236.0 IPS |
|
|
Image Classification (HP)
|
100% |
188
34.9 IPS |
|
|
Image Classification (Q)
|
96% |
2030
379.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
857
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
272
4.40 IPS |
|
|
Image Segmentation (Q)
|
97% |
917
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2991
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
2499
2.92 IPS |
|
|
Pose Estimation (Q)
|
86% |
5970
7.06 IPS |
|
|
Object Detection (SP)
|
100% |
1293
102.6 IPS |
|
|
Object Detection (HP)
|
100% |
239
19.0 IPS |
|
|
Object Detection (Q)
|
58% |
1446
158.0 IPS |
|
|
Face Detection (SP)
|
100% |
3586
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
543
6.45 IPS |
|
|
Face Detection (Q)
|
96% |
3471
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3797
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
783
6.03 IPS |
|
|
Depth Estimation (Q)
|
78% |
4945
39.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7437
9.56 IPS |
|
|
Style Transfer (HP)
|
100% |
6098
7.84 IPS |
|
|
Style Transfer (Q)
|
87% |
10034
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1012
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
855
31.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1141
42.3 IPS |
|
|
Text Classification (SP)
|
100% |
514
686.2 IPS |
|
|
Text Classification (HP)
|
100% |
247
330.3 IPS |
|
|
Text Classification (Q)
|
97% |
147
197.1 IPS |
|
|
Machine Translation (SP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
274
4.72 IPS |
|
|
Machine Translation (Q)
|
68% |
1008
19.5 IPS |
