B550 Taichi
Geekbench AI Score
34065
Single Precision Score
47408
Half Precision Score
29653
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | sam_86314 |
| Upload Date | January 31 2026 04:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | B550 Taichi |
| Motherboard | ASRock B550 Taichi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15502
2.88 KIPS |
|
|
Image Classification (HP)
|
100% |
17815
3.31 KIPS |
|
|
Image Classification (Q)
|
99% |
14636
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18316
296.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21056
341.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
23041
374.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
207672
242.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
633506
739.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
190491
223.1 IPS |
|
|
Object Detection (SP)
|
100% |
14313
1.14 KIPS |
|
|
Object Detection (HP)
|
99% |
19953
1.58 KIPS |
|
|
Object Detection (Q)
|
87% |
13330
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
50553
600.7 IPS |
|
|
Face Detection (HP)
|
100% |
57079
678.2 IPS |
|
|
Face Detection (Q)
|
97% |
44428
529.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
85122
655.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
127253
980.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
71243
570.9 IPS |
|
|
Style Transfer (SP)
|
100% |
396561
509.8 IPS |
|
|
Style Transfer (HP)
|
100% |
686892
883.0 IPS |
|
|
Style Transfer (Q)
|
98% |
358432
462.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50648
1.87 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82342
3.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42625
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
4497
6.00 KIPS |
|
|
Text Classification (HP)
|
100% |
4598
6.14 KIPS |
|
|
Text Classification (Q)
|
97% |
3271
4.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
6415
110.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6403
110.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3881
72.8 IPS |
