X570 Taichi
Geekbench AI Score
3885
Single Precision Score
3767
Half Precision Score
5804
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 26 2025 03:52 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | X570 Taichi |
| Motherboard | ASRock X570 Taichi |
| Power Plan | Ausbalanciert |
| 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% |
2253
419.0 IPS |
|
|
Image Classification (HP)
|
100% |
2166
402.9 IPS |
|
|
Image Classification (Q)
|
100% |
3853
716.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3017
48.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2963
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5235
85.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4619
5.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
4608
5.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
10543
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
2403
190.6 IPS |
|
|
Object Detection (HP)
|
100% |
2233
177.1 IPS |
|
|
Object Detection (Q)
|
87% |
3827
307.0 IPS |
|
|
Face Detection (SP)
|
100% |
6128
72.8 IPS |
|
|
Face Detection (HP)
|
100% |
6057
72.0 IPS |
|
|
Face Detection (Q)
|
97% |
10576
126.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6177
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5973
46.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
10559
83.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14268
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14183
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
28706
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2735
101.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2731
100.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8099
300.0 IPS |
|
|
Text Classification (SP)
|
100% |
1908
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1688
2.25 KIPS |
|
|
Text Classification (Q)
|
91% |
555
746.5 IPS |
|
|
Machine Translation (SP)
|
100% |
3691
63.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3689
63.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3701
63.8 IPS |
