Default string AMD BC-250
Geekbench AI Score
1033
Single Precision Score
1035
Half Precision Score
624
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | August 10 2025 09:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD BC-250 |
| System Information | |
|---|---|
| Operating System | PikaOS 4 |
| Model | Default string AMD BC-250 |
| Motherboard | ASRock AMD BC-250 |
| 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 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 11.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
589
109.6 IPS |
|
|
Image Classification (HP)
|
100% |
580
107.8 IPS |
|
|
Image Classification (Q)
|
99% |
349
65.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
960
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
967
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
468
7.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
1418
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1418
1.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
1160
1.36 IPS |
|
|
Object Detection (SP)
|
100% |
614
48.7 IPS |
|
|
Object Detection (HP)
|
100% |
621
49.3 IPS |
|
|
Object Detection (Q)
|
85% |
376
30.3 IPS |
|
|
Face Detection (SP)
|
100% |
1450
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
1451
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
923
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1358
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1359
10.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
802
7.52 IPS |
|
|
Style Transfer (SP)
|
100% |
2241
2.88 IPS |
|
|
Style Transfer (HP)
|
100% |
2250
2.89 IPS |
|
|
Style Transfer (Q)
|
98% |
2449
3.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
702
25.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
703
25.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
581
21.5 IPS |
|
|
Text Classification (SP)
|
100% |
735
981.1 IPS |
|
|
Text Classification (HP)
|
100% |
735
980.9 IPS |
|
|
Text Classification (Q)
|
92% |
349
468.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1236
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (Q)
|
58% |
347
8.14 IPS |
