samsung SM-I610
Geekbench AI Score
417
Single Precision Score
429
Half Precision Score
732
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 04 2025 10:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-I610 |
| Model ID | samsung SM-I610 |
| Motherboard | anorak |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3403 revision 2 |
| Base Frequency | 2.36 GHz |
| Cluster 1 | 6 Cores @ 2.36 GHz |
| Memory Information | |
|---|---|
| Size | 15.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
203
37.8 IPS |
|
|
Image Classification (HP)
|
100% |
176
32.7 IPS |
|
|
Image Classification (Q)
|
100% |
457
85.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
265
4.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
283
4.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
678
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1070
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1080
1.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
1677
1.99 IPS |
|
|
Object Detection (SP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (HP)
|
100% |
180
14.2 IPS |
|
|
Object Detection (Q)
|
83% |
460
37.1 IPS |
|
|
Face Detection (SP)
|
100% |
598
7.10 IPS |
|
|
Face Detection (HP)
|
100% |
607
7.21 IPS |
|
|
Face Detection (Q)
|
95% |
970
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
606
4.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
667
5.14 IPS |
|
|
Depth Estimation (Q)
|
64% |
1175
10.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1840
2.39 IPS |
|
|
Style Transfer (HP)
|
89% |
1842
2.39 IPS |
|
|
Style Transfer (Q)
|
98% |
3918
5.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
439
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
484
17.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
852
31.6 IPS |
|
|
Text Classification (SP)
|
100% |
173
230.5 IPS |
|
|
Text Classification (HP)
|
100% |
185
246.9 IPS |
|
|
Text Classification (Q)
|
88% |
281
379.5 IPS |
|
|
Machine Translation (SP)
|
100% |
311
5.35 IPS |
|
|
Machine Translation (HP)
|
100% |
331
5.70 IPS |
|
|
Machine Translation (Q)
|
50% |
175
6.20 IPS |
