samsung SM-I610
Geekbench AI Score
1412
Single Precision Score
2232
Half Precision Score
1733
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 30 2025 10:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
954
177.5 IPS |
|
|
Image Classification (HP)
|
100% |
1451
269.9 IPS |
|
|
Image Classification (Q)
|
100% |
1203
223.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1757
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3077
49.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2530
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6543
7.63 IPS |
|
|
Pose Estimation (HP)
|
99% |
12433
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12301
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
888
70.4 IPS |
|
|
Object Detection (HP)
|
99% |
1272
100.9 IPS |
|
|
Object Detection (Q)
|
87% |
1191
95.6 IPS |
|
|
Face Detection (SP)
|
100% |
2708
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
4488
53.3 IPS |
|
|
Face Detection (Q)
|
97% |
3858
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3371
26.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4522
35.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
3434
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8672
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18684
24.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18593
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1991
73.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3266
120.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3238
120.0 IPS |
|
|
Text Classification (SP)
|
35% |
32
313.6 IPS |
|
|
Text Classification (HP)
|
35% |
52
476.9 IPS |
|
|
Text Classification (Q)
|
33% |
39
471.7 IPS |
|
|
Machine Translation (SP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (HP)
|
97% |
675
11.7 IPS |
|
|
Machine Translation (Q)
|
43% |
177
10.1 IPS |
