Samsung Galaxy M51
Geekbench AI Score
442
Single Precision Score
439
Half Precision Score
784
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 20 2025 06:49 AM |
| Views | 1 |
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 | 5.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
220
40.9 IPS |
|
|
Image Classification (HP)
|
100% |
226
42.1 IPS |
|
|
Image Classification (Q)
|
100% |
668
124.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
279
4.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
728
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1066
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
961
1.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
1236
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
186
14.8 IPS |
|
|
Object Detection (HP)
|
100% |
186
14.8 IPS |
|
|
Object Detection (Q)
|
83% |
511
41.3 IPS |
|
|
Face Detection (SP)
|
100% |
611
7.26 IPS |
|
|
Face Detection (HP)
|
100% |
611
7.26 IPS |
|
|
Face Detection (Q)
|
95% |
1184
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
788
6.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
787
6.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
1147
10.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1494
1.94 IPS |
|
|
Style Transfer (HP)
|
89% |
1497
1.94 IPS |
|
|
Style Transfer (Q)
|
98% |
2865
3.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
425
15.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
423
15.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
700
25.9 IPS |
|
|
Text Classification (SP)
|
100% |
202
270.3 IPS |
|
|
Text Classification (HP)
|
100% |
206
274.7 IPS |
|
|
Text Classification (Q)
|
88% |
380
513.0 IPS |
|
|
Machine Translation (SP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.52 IPS |
|
|
Machine Translation (Q)
|
50% |
276
9.80 IPS |
