Samsung Galaxy S10e
Geekbench AI Score
230
Single Precision Score
334
Half Precision Score
351
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 30 2025 05:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
206
38.3 IPS |
|
|
Image Classification (HP)
|
100% |
349
64.8 IPS |
|
|
Image Classification (Q)
|
97% |
353
65.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
157
2.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
213
3.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
231
3.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
429
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
324
0.38 IPS |
|
|
Pose Estimation (Q)
|
95% |
322
0.38 IPS |
|
|
Object Detection (SP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (HP)
|
100% |
206
16.3 IPS |
|
|
Object Detection (Q)
|
89% |
211
16.9 IPS |
|
|
Face Detection (SP)
|
100% |
468
5.56 IPS |
|
|
Face Detection (HP)
|
100% |
905
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
930
11.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
461
3.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
896
6.92 IPS |
|
|
Depth Estimation (Q)
|
62% |
743
7.03 IPS |
|
|
Style Transfer (SP)
|
100% |
958
1.23 IPS |
|
|
Style Transfer (HP)
|
100% |
2343
3.01 IPS |
|
|
Style Transfer (Q)
|
98% |
2302
2.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
240
8.85 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
483
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
473
17.5 IPS |
|
|
Text Classification (SP)
|
100% |
44
59.0 IPS |
|
|
Text Classification (HP)
|
100% |
45
60.1 IPS |
|
|
Text Classification (Q)
|
91% |
94
126.8 IPS |
|
|
Machine Translation (SP)
|
100% |
84
1.45 IPS |
|
|
Machine Translation (HP)
|
100% |
85
1.46 IPS |
|
|
Machine Translation (Q)
|
57% |
74
1.80 IPS |
