Samsung Galaxy S10e
Geekbench AI Score
301
Single Precision Score
298
Half Precision Score
584
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 30 2025 05:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 855 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy S10e |
| Model ID | samsung SM-G970U |
| Motherboard | msmnile |
| 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 | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 5.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
162
30.2 IPS |
|
|
Image Classification (HP)
|
100% |
161
30.0 IPS |
|
|
Image Classification (Q)
|
100% |
453
84.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
170
2.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
171
2.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
488
7.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
652
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
631
0.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
1170
1.39 IPS |
|
|
Object Detection (SP)
|
100% |
147
11.6 IPS |
|
|
Object Detection (HP)
|
100% |
143
11.3 IPS |
|
|
Object Detection (Q)
|
83% |
381
30.7 IPS |
|
|
Face Detection (SP)
|
100% |
366
4.34 IPS |
|
|
Face Detection (HP)
|
100% |
365
4.34 IPS |
|
|
Face Detection (Q)
|
95% |
806
9.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
518
3.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
522
4.02 IPS |
|
|
Depth Estimation (Q)
|
64% |
949
8.69 IPS |
|
|
Style Transfer (SP)
|
89% |
1103
1.43 IPS |
|
|
Style Transfer (HP)
|
89% |
1110
1.44 IPS |
|
|
Style Transfer (Q)
|
98% |
2494
3.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
297
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
295
10.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
626
23.2 IPS |
|
|
Text Classification (SP)
|
100% |
143
190.5 IPS |
|
|
Text Classification (HP)
|
100% |
139
185.3 IPS |
|
|
Text Classification (Q)
|
88% |
251
338.8 IPS |
|
|
Machine Translation (SP)
|
100% |
261
4.50 IPS |
|
|
Machine Translation (HP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (Q)
|
50% |
158
5.60 IPS |
