B550 Taichi
Geekbench AI Score
5399
Single Precision Score
5440
Half Precision Score
8164
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | sam_86314 |
| Upload Date | January 31 2026 04:55 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X 8-Core Processor |
| 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% |
3592
668.0 IPS |
|
|
Image Classification (HP)
|
100% |
3667
681.9 IPS |
|
|
Image Classification (Q)
|
100% |
5587
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4148
67.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4208
68.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6652
108.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5833
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
5758
6.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
13581
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
3285
260.6 IPS |
|
|
Object Detection (HP)
|
100% |
3430
272.1 IPS |
|
|
Object Detection (Q)
|
87% |
5788
464.2 IPS |
|
|
Face Detection (SP)
|
100% |
7541
89.6 IPS |
|
|
Face Detection (HP)
|
100% |
7657
91.0 IPS |
|
|
Face Detection (Q)
|
97% |
15569
185.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7929
61.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7814
60.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
15033
118.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18778
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18776
24.1 IPS |
|
|
Style Transfer (Q)
|
98% |
39793
51.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4068
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4056
149.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8051
298.2 IPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
3323
4.43 KIPS |
|
|
Text Classification (Q)
|
91% |
1215
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4957
85.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4920
84.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4943
85.1 IPS |
