Samsung Galaxy M31
Geekbench AI Score
73
Single Precision Score
74
Half Precision Score
102
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 08 2025 12:31 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 9611 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy M31 |
| Model ID | samsung SM-M315F |
| Motherboard | exynos9611 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3337 revision 2 |
| Base Frequency | 1.74 GHz |
| Cluster 1 | 4 Cores @ 1.74 GHz |
| Cluster 2 | 4 Cores @ 2.31 GHz |
| Memory Information | |
|---|---|
| Size | 5.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
45
8.38 IPS |
|
|
Image Classification (HP)
|
100% |
45
8.42 IPS |
|
|
Image Classification (Q)
|
99% |
56
10.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
44
0.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
44
0.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
60
0.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
66
0.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
83
0.10 IPS |
|
|
Pose Estimation (Q)
|
98% |
168
0.20 IPS |
|
|
Object Detection (SP)
|
100% |
46
3.66 IPS |
|
|
Object Detection (HP)
|
100% |
46
3.66 IPS |
|
|
Object Detection (Q)
|
87% |
81
6.53 IPS |
|
|
Face Detection (SP)
|
100% |
119
1.41 IPS |
|
|
Face Detection (HP)
|
100% |
110
1.31 IPS |
|
|
Face Detection (Q)
|
97% |
142
1.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
107
0.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
107
0.83 IPS |
|
|
Depth Estimation (Q)
|
64% |
148
1.34 IPS |
|
|
Style Transfer (SP)
|
100% |
197
0.25 IPS |
|
|
Style Transfer (HP)
|
100% |
200
0.26 IPS |
|
|
Style Transfer (Q)
|
98% |
380
0.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54
1.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51
1.87 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
69
2.54 IPS |
|
|
Text Classification (SP)
|
100% |
49
65.0 IPS |
|
|
Text Classification (HP)
|
100% |
49
64.9 IPS |
|
|
Text Classification (Q)
|
91% |
62
84.0 IPS |
|
|
Machine Translation (SP)
|
100% |
116
1.99 IPS |
|
|
Machine Translation (HP)
|
100% |
116
2.01 IPS |
|
|
Machine Translation (Q)
|
57% |
83
2.03 IPS |
