AMD BC-250 Default string AMD BC-250
Geekbench AI Score
1739
Single Precision Score
1773
Half Precision Score
2391
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | minerale |
| Upload Date | November 25 2025 10:36 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD BC-250 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Default string AMD BC-250 |
| Motherboard | ASRock AMD BC-250 |
| Power Plan | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | AMD BC-250 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 71 Stepping 0 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
923
171.7 IPS |
|
|
Image Classification (HP)
|
100% |
933
173.6 IPS |
|
|
Image Classification (Q)
|
100% |
1383
257.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1242
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1235
20.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1917
31.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2106
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2098
2.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
3859
4.53 IPS |
|
|
Object Detection (SP)
|
100% |
1031
81.8 IPS |
|
|
Object Detection (HP)
|
100% |
1063
84.3 IPS |
|
|
Object Detection (Q)
|
87% |
1659
133.1 IPS |
|
|
Face Detection (SP)
|
100% |
2914
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
2870
34.1 IPS |
|
|
Face Detection (Q)
|
97% |
4999
59.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2771
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2779
21.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
4415
34.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6522
8.38 IPS |
|
|
Style Transfer (HP)
|
100% |
6658
8.56 IPS |
|
|
Style Transfer (Q)
|
98% |
10871
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1338
49.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1310
48.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2161
80.1 IPS |
|
|
Text Classification (SP)
|
100% |
902
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
1077
1.44 KIPS |
|
|
Text Classification (Q)
|
91% |
442
593.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1602
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1601
27.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1573
27.1 IPS |
