X570 Taichi
Geekbench AI Score
4614
Single Precision Score
4602
Half Precision Score
5259
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Nickayz |
| Upload Date | December 14 2025 08:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X 12-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 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2795
519.7 IPS |
|
|
Image Classification (HP)
|
100% |
2735
508.6 IPS |
|
|
Image Classification (Q)
|
100% |
3610
671.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1683
27.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5341
86.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8669
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8707
10.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
10199
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
2951
234.1 IPS |
|
|
Object Detection (HP)
|
100% |
2839
225.2 IPS |
|
|
Object Detection (Q)
|
87% |
3959
317.5 IPS |
|
|
Face Detection (SP)
|
100% |
7003
83.2 IPS |
|
|
Face Detection (HP)
|
100% |
7061
83.9 IPS |
|
|
Face Detection (Q)
|
97% |
13106
156.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7943
61.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8023
61.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
10708
84.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25002
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24046
30.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28704
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4734
174.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4964
183.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5579
206.7 IPS |
|
|
Text Classification (SP)
|
100% |
2183
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2152
2.87 KIPS |
|
|
Text Classification (Q)
|
91% |
358
481.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2641
45.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2578
44.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2587
44.6 IPS |
