Samsung Galaxy M31s
Geekbench AI Score
291
Single Precision Score
290
Half Precision Score
350
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | yakovlev |
| Upload Date | November 17 2024 12:18 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 | 5.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
139
25.9 IPS |
|
|
Image Classification (HP)
|
100% |
132
24.6 IPS |
|
|
Image Classification (Q)
|
100% |
237
44.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
173
2.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
176
2.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
315
5.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
652
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
652
0.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
499
0.59 IPS |
|
|
Object Detection (SP)
|
100% |
123
9.73 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.75 IPS |
|
|
Object Detection (Q)
|
83% |
225
18.2 IPS |
|
|
Face Detection (SP)
|
100% |
399
4.74 IPS |
|
|
Face Detection (HP)
|
100% |
397
4.72 IPS |
|
|
Face Detection (Q)
|
95% |
544
6.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
515
3.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
523
4.03 IPS |
|
|
Depth Estimation (Q)
|
64% |
520
4.76 IPS |
|
|
Style Transfer (SP)
|
89% |
1090
1.42 IPS |
|
|
Style Transfer (HP)
|
89% |
1084
1.41 IPS |
|
|
Style Transfer (Q)
|
98% |
1405
1.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
291
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
286
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
302
11.2 IPS |
|
|
Text Classification (SP)
|
100% |
146
195.5 IPS |
|
|
Text Classification (HP)
|
100% |
147
195.8 IPS |
|
|
Text Classification (Q)
|
88% |
210
283.6 IPS |
|
|
Machine Translation (SP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (HP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (Q)
|
50% |
134
4.75 IPS |
