BESSTAR TECH LIMITED B550
Geekbench AI Score
3442
Single Precision Score
3496
Half Precision Score
5790
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | September 13 2024 05:52 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | BESSTAR TECH LIMITED B550 |
| Motherboard | BESSTAR TECH LIMITED B550 |
| Power Plan | Ryzen Optimized Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2326
432.6 IPS |
|
|
Image Classification (HP)
|
100% |
2373
441.3 IPS |
|
|
Image Classification (Q)
|
100% |
3403
632.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3831
62.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4469
5.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
4530
5.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
9959
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
2184
173.2 IPS |
|
|
Object Detection (HP)
|
100% |
2163
171.6 IPS |
|
|
Object Detection (Q)
|
87% |
4079
327.2 IPS |
|
|
Face Detection (SP)
|
100% |
4446
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
4499
53.5 IPS |
|
|
Face Detection (Q)
|
97% |
11138
132.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6072
46.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6062
46.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
10873
85.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13096
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13299
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
28403
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2723
100.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2738
101.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5935
219.8 IPS |
|
|
Text Classification (SP)
|
100% |
1465
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1614
2.15 KIPS |
|
|
Text Classification (Q)
|
91% |
1198
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3416
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3425
59.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3270
56.3 IPS |
