Samsung Galaxy M51
Geekbench AI Score
159
Single Precision Score
227
Half Precision Score
342
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 20 2025 05:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
166
30.8 IPS |
|
|
Image Classification (HP)
|
100% |
233
43.3 IPS |
|
|
Image Classification (Q)
|
97% |
614
114.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
186
3.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
119
1.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
682
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
366
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
877
1.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
4031
4.72 IPS |
|
|
Object Detection (SP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (HP)
|
100% |
87
6.88 IPS |
|
|
Object Detection (Q)
|
85% |
639
51.4 IPS |
|
|
Face Detection (SP)
|
100% |
369
4.39 IPS |
|
|
Face Detection (HP)
|
100% |
225
2.67 IPS |
|
|
Face Detection (Q)
|
97% |
1474
17.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
261
2.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
188
1.45 IPS |
|
|
Depth Estimation (Q)
|
22% |
101
23.2 IPS |
|
|
Style Transfer (SP)
|
100% |
425
0.55 IPS |
|
|
Style Transfer (HP)
|
100% |
314
0.40 IPS |
|
|
Style Transfer (Q)
|
98% |
1830
2.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
246
9.10 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
487
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1771
65.6 IPS |
|
|
Text Classification (SP)
|
71% |
4
6.43 IPS |
|
|
Text Classification (HP)
|
100% |
125
166.3 IPS |
|
|
Text Classification (Q)
|
93% |
43
57.7 IPS |
|
|
Machine Translation (SP)
|
100% |
158
2.73 IPS |
|
|
Machine Translation (HP)
|
100% |
213
3.67 IPS |
|
|
Machine Translation (Q)
|
0
|
