AMD BC-250 Default string AMD BC-250
Geekbench AI Score
1470
Single Precision Score
775
Half Precision Score
2063
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | minerale |
| Upload Date | November 25 2025 10:30 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 | Bilanciato |
| 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% |
1133
210.7 IPS |
|
|
Image Classification (HP)
|
100% |
306
56.9 IPS |
|
|
Image Classification (Q)
|
96% |
1569
293.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
415
6.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
444
7.20 IPS |
|
|
Image Segmentation (Q)
|
97% |
2011
32.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2184
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
1962
2.29 IPS |
|
|
Pose Estimation (Q)
|
86% |
3693
4.37 IPS |
|
|
Object Detection (SP)
|
100% |
1131
89.7 IPS |
|
|
Object Detection (HP)
|
100% |
389
30.9 IPS |
|
|
Object Detection (Q)
|
58% |
1172
128.0 IPS |
|
|
Face Detection (SP)
|
100% |
3439
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
866
10.3 IPS |
|
|
Face Detection (Q)
|
96% |
3761
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3133
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1165
8.98 IPS |
|
|
Depth Estimation (Q)
|
78% |
3925
31.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5997
7.71 IPS |
|
|
Style Transfer (HP)
|
100% |
5172
6.65 IPS |
|
|
Style Transfer (Q)
|
87% |
8034
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1044
38.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
925
34.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1348
49.9 IPS |
|
|
Text Classification (SP)
|
100% |
622
830.5 IPS |
|
|
Text Classification (HP)
|
100% |
337
449.6 IPS |
|
|
Text Classification (Q)
|
97% |
499
668.0 IPS |
|
|
Machine Translation (SP)
|
100% |
972
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
466
8.03 IPS |
|
|
Machine Translation (Q)
|
68% |
1287
24.9 IPS |
