Samsung Galaxy S10
Geekbench AI Score
307
Single Precision Score
306
Half Precision Score
605
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Arsen4uk |
| Upload Date | January 06 2026 12:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 855 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy S10 |
| Model ID | samsung SM-G9730 |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
171
31.7 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.9 IPS |
|
|
Image Classification (Q)
|
100% |
468
87.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
184
2.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
195
3.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
516
8.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
637
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
630
0.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
1152
1.37 IPS |
|
|
Object Detection (SP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
83% |
473
38.2 IPS |
|
|
Face Detection (SP)
|
100% |
351
4.17 IPS |
|
|
Face Detection (HP)
|
100% |
367
4.36 IPS |
|
|
Face Detection (Q)
|
95% |
819
9.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
527
4.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
507
3.90 IPS |
|
|
Depth Estimation (Q)
|
64% |
987
9.04 IPS |
|
|
Style Transfer (SP)
|
89% |
1099
1.43 IPS |
|
|
Style Transfer (HP)
|
89% |
1099
1.43 IPS |
|
|
Style Transfer (Q)
|
98% |
2435
3.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
282
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
283
10.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
615
22.8 IPS |
|
|
Text Classification (SP)
|
100% |
153
203.7 IPS |
|
|
Text Classification (HP)
|
100% |
151
201.6 IPS |
|
|
Text Classification (Q)
|
88% |
261
351.9 IPS |
|
|
Machine Translation (SP)
|
100% |
254
4.37 IPS |
|
|
Machine Translation (HP)
|
100% |
250
4.30 IPS |
|
|
Machine Translation (Q)
|
50% |
159
5.64 IPS |
