X570 Taichi
Geekbench AI Score
37493
Single Precision Score
41693
Half Precision Score
29752
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 27 2025 08:18 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% |
15336
2.85 KIPS |
|
|
Image Classification (HP)
|
100% |
15969
2.97 KIPS |
|
|
Image Classification (Q)
|
99% |
13245
2.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25490
413.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22998
372.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
22821
371.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
296630
346.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
409659
478.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
263368
308.5 IPS |
|
|
Object Detection (SP)
|
100% |
18695
1.48 KIPS |
|
|
Object Detection (HP)
|
99% |
19881
1.58 KIPS |
|
|
Object Detection (Q)
|
87% |
16485
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
49278
585.5 IPS |
|
|
Face Detection (HP)
|
100% |
54505
647.6 IPS |
|
|
Face Detection (Q)
|
97% |
43274
516.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
81103
624.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98606
759.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
65096
521.7 IPS |
|
|
Style Transfer (SP)
|
100% |
475601
611.4 IPS |
|
|
Style Transfer (HP)
|
100% |
656418
843.8 IPS |
|
|
Style Transfer (Q)
|
98% |
407993
526.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52516
1.94 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61922
2.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42232
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
4272
5.70 KIPS |
|
|
Text Classification (HP)
|
100% |
4141
5.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2779
3.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
5939
102.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5867
101.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3071
57.6 IPS |
