samsung SM-I610
Geekbench AI Score
620
Single Precision Score
609
Half Precision Score
1082
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 30 2025 10:45 PM |
| Views | 6 |
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% |
292
54.3 IPS |
|
|
Image Classification (HP)
|
100% |
279
52.0 IPS |
|
|
Image Classification (Q)
|
100% |
697
129.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
384
6.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
977
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1540
1.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1511
1.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
2304
2.73 IPS |
|
|
Object Detection (SP)
|
100% |
278
22.0 IPS |
|
|
Object Detection (HP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (Q)
|
83% |
737
59.5 IPS |
|
|
Face Detection (SP)
|
100% |
896
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
867
10.3 IPS |
|
|
Face Detection (Q)
|
95% |
1907
22.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1115
8.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
1125
8.66 IPS |
|
|
Depth Estimation (Q)
|
64% |
1770
16.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2657
3.45 IPS |
|
|
Style Transfer (HP)
|
89% |
2634
3.42 IPS |
|
|
Style Transfer (Q)
|
98% |
5565
7.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
633
23.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
649
24.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1121
41.5 IPS |
|
|
Text Classification (SP)
|
100% |
253
337.1 IPS |
|
|
Text Classification (HP)
|
100% |
232
309.4 IPS |
|
|
Text Classification (Q)
|
88% |
375
506.3 IPS |
|
|
Machine Translation (SP)
|
100% |
416
7.16 IPS |
|
|
Machine Translation (HP)
|
100% |
402
6.93 IPS |
|
|
Machine Translation (Q)
|
50% |
241
8.54 IPS |
