Samsung Galaxy M31s
Geekbench AI Score
264
Single Precision Score
266
Half Precision Score
334
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | applerobloxgames |
| Upload Date | August 16 2024 10:40 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 9611 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy M31s |
| Model ID | samsung SM-M317F |
| 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 | 7.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
108
20.2 IPS |
|
|
Image Classification (HP)
|
100% |
115
21.3 IPS |
|
|
Image Classification (Q)
|
100% |
211
39.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
155
2.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
155
2.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
279
4.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
608
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
610
0.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
487
0.58 IPS |
|
|
Object Detection (SP)
|
100% |
115
9.14 IPS |
|
|
Object Detection (HP)
|
100% |
115
9.15 IPS |
|
|
Object Detection (Q)
|
87% |
215
17.3 IPS |
|
|
Face Detection (SP)
|
100% |
373
4.44 IPS |
|
|
Face Detection (HP)
|
100% |
373
4.44 IPS |
|
|
Face Detection (Q)
|
95% |
531
6.34 IPS |
|
|
Depth Estimation (SP)
|
100% |
473
3.65 IPS |
|
|
Depth Estimation (HP)
|
100% |
480
3.70 IPS |
|
|
Depth Estimation (Q)
|
75% |
576
4.67 IPS |
|
|
Style Transfer (SP)
|
89% |
1041
1.35 IPS |
|
|
Style Transfer (HP)
|
89% |
1038
1.35 IPS |
|
|
Style Transfer (Q)
|
98% |
1359
1.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
271
9.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
271
10.00 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
284
10.5 IPS |
|
|
Text Classification (SP)
|
100% |
128
171.3 IPS |
|
|
Text Classification (HP)
|
100% |
127
169.9 IPS |
|
|
Text Classification (Q)
|
88% |
186
250.7 IPS |
|
|
Machine Translation (SP)
|
100% |
226
3.90 IPS |
|
|
Machine Translation (HP)
|
100% |
223
3.83 IPS |
|
|
Machine Translation (Q)
|
50% |
128
4.55 IPS |
