Samsung Galaxy M51
Geekbench AI Score
436
Single Precision Score
427
Half Precision Score
745
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 11:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 730G |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy M51 |
| Model ID | samsung SM-M515F |
| Motherboard | sm6150 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
225
41.9 IPS |
|
|
Image Classification (HP)
|
100% |
187
34.8 IPS |
|
|
Image Classification (Q)
|
100% |
494
91.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
241
3.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
241
3.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
577
9.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
955
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
937
1.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
1238
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
187
14.9 IPS |
|
|
Object Detection (HP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (Q)
|
83% |
512
41.4 IPS |
|
|
Face Detection (SP)
|
100% |
628
7.47 IPS |
|
|
Face Detection (HP)
|
100% |
628
7.46 IPS |
|
|
Face Detection (Q)
|
95% |
1187
14.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
807
6.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
804
6.19 IPS |
|
|
Depth Estimation (Q)
|
64% |
1151
10.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1511
1.96 IPS |
|
|
Style Transfer (HP)
|
89% |
1506
1.95 IPS |
|
|
Style Transfer (Q)
|
98% |
2885
3.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
439
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
440
16.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
708
26.2 IPS |
|
|
Text Classification (SP)
|
100% |
203
270.3 IPS |
|
|
Text Classification (HP)
|
100% |
203
271.3 IPS |
|
|
Text Classification (Q)
|
88% |
375
505.8 IPS |
|
|
Machine Translation (SP)
|
100% |
382
6.58 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.52 IPS |
|
|
Machine Translation (Q)
|
50% |
279
9.89 IPS |
