Samsung Galaxy M31
Geekbench AI Score
106
Single Precision Score
147
Half Precision Score
141
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 18 2025 03:56 PM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
108
20.1 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.8 IPS |
|
|
Image Classification (Q)
|
99% |
166
31.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
114
1.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
157
2.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
153
2.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
81
0.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
109
0.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
109
0.13 IPS |
|
|
Object Detection (SP)
|
100% |
65
5.14 IPS |
|
|
Object Detection (HP)
|
100% |
115
9.12 IPS |
|
|
Object Detection (Q)
|
83% |
111
8.97 IPS |
|
|
Face Detection (SP)
|
100% |
262
3.11 IPS |
|
|
Face Detection (HP)
|
100% |
350
4.16 IPS |
|
|
Face Detection (Q)
|
97% |
331
3.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
129
1.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
182
1.41 IPS |
|
|
Depth Estimation (Q)
|
62% |
147
1.39 IPS |
|
|
Style Transfer (SP)
|
100% |
242
0.31 IPS |
|
|
Style Transfer (HP)
|
100% |
400
0.51 IPS |
|
|
Style Transfer (Q)
|
98% |
398
0.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
86
3.19 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
133
4.90 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
131
4.86 IPS |
|
|
Text Classification (SP)
|
100% |
49
64.9 IPS |
|
|
Text Classification (HP)
|
100% |
49
65.2 IPS |
|
|
Text Classification (Q)
|
91% |
63
84.4 IPS |
|
|
Machine Translation (SP)
|
100% |
85
1.47 IPS |
|
|
Machine Translation (HP)
|
100% |
86
1.49 IPS |
|
|
Machine Translation (Q)
|
57% |
64
1.57 IPS |
