X570 Taichi
Geekbench AI Score
6626
Single Precision Score
6763
Half Precision Score
9089
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Nickayz |
| Upload Date | December 27 2025 04:29 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3470
645.2 IPS |
|
|
Image Classification (HP)
|
100% |
3736
694.7 IPS |
|
|
Image Classification (Q)
|
100% |
6312
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5567
90.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5616
91.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10074
163.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11133
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
11199
13.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
24286
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
4438
352.0 IPS |
|
|
Object Detection (HP)
|
100% |
4404
349.3 IPS |
|
|
Object Detection (Q)
|
87% |
7142
572.8 IPS |
|
|
Face Detection (SP)
|
100% |
9207
109.4 IPS |
|
|
Face Detection (HP)
|
100% |
10067
119.6 IPS |
|
|
Face Detection (Q)
|
97% |
21884
260.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11104
85.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11510
88.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
22379
176.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32352
41.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32289
41.5 IPS |
|
|
Style Transfer (Q)
|
98% |
70338
90.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6273
231.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6386
235.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12308
455.9 IPS |
|
|
Text Classification (SP)
|
100% |
2861
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2806
3.75 KIPS |
|
|
Text Classification (Q)
|
91% |
292
393.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2881
49.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2886
49.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2820
48.6 IPS |
