X570 Taichi
Geekbench AI Score
4321
Single Precision Score
1576
Half Precision Score
6257
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Nickayz |
| Upload Date | December 27 2025 04:21 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| 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% |
3097
575.9 IPS |
|
|
Image Classification (HP)
|
100% |
500
93.0 IPS |
|
|
Image Classification (Q)
|
96% |
5324
994.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1884
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
748
12.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
3292
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9599
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
6430
7.50 IPS |
|
|
Pose Estimation (Q)
|
86% |
20901
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
3441
272.9 IPS |
|
|
Object Detection (HP)
|
100% |
669
53.1 IPS |
|
|
Object Detection (Q)
|
58% |
5131
560.6 IPS |
|
|
Face Detection (SP)
|
100% |
6713
79.8 IPS |
|
|
Face Detection (HP)
|
100% |
1491
17.7 IPS |
|
|
Face Detection (Q)
|
96% |
10501
125.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11065
85.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2450
18.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
15058
120.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22220
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19030
24.5 IPS |
|
|
Style Transfer (Q)
|
87% |
20994
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2428
89.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1884
69.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3309
122.6 IPS |
|
|
Text Classification (SP)
|
100% |
1289
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
626
835.3 IPS |
|
|
Text Classification (Q)
|
97% |
1376
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2280
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (Q)
|
68% |
3239
62.6 IPS |
