X570 Taichi
Geekbench AI Score
37663
Single Precision Score
41490
Half Precision Score
29776
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 26 2025 03:54 PM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| 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% |
15706
2.92 KIPS |
|
|
Image Classification (HP)
|
100% |
16753
3.12 KIPS |
|
|
Image Classification (Q)
|
99% |
13799
2.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24927
404.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19444
315.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
22793
370.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
298045
347.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
408300
476.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
262520
307.5 IPS |
|
|
Object Detection (SP)
|
100% |
18875
1.50 KIPS |
|
|
Object Detection (HP)
|
99% |
19183
1.52 KIPS |
|
|
Object Detection (Q)
|
87% |
15956
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
49243
585.1 IPS |
|
|
Face Detection (HP)
|
100% |
53905
640.5 IPS |
|
|
Face Detection (Q)
|
97% |
42847
510.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
80438
619.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98212
756.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
65091
521.6 IPS |
|
|
Style Transfer (SP)
|
100% |
472335
607.2 IPS |
|
|
Style Transfer (HP)
|
100% |
655398
842.5 IPS |
|
|
Style Transfer (Q)
|
98% |
415185
535.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54393
2.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63159
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42209
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
4295
5.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4239
5.66 KIPS |
|
|
Text Classification (Q)
|
97% |
2802
3.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
5967
102.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6379
109.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3037
57.0 IPS |
