samsung SM-I610
Geekbench AI Score
212
Single Precision Score
213
Half Precision Score
513
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 30 2025 11:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
124
23.0 IPS |
|
|
Image Classification (HP)
|
100% |
125
23.3 IPS |
|
|
Image Classification (Q)
|
99% |
335
62.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
165
2.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
167
2.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
364
5.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
222
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
217
0.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
861
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
123
9.74 IPS |
|
|
Object Detection (HP)
|
100% |
124
9.83 IPS |
|
|
Object Detection (Q)
|
87% |
364
29.2 IPS |
|
|
Face Detection (SP)
|
100% |
321
3.82 IPS |
|
|
Face Detection (HP)
|
100% |
322
3.83 IPS |
|
|
Face Detection (Q)
|
97% |
729
8.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
276
2.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
278
2.14 IPS |
|
|
Depth Estimation (Q)
|
64% |
702
6.37 IPS |
|
|
Style Transfer (SP)
|
100% |
494
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
491
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
1356
1.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
139
5.13 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
139
5.13 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
501
18.6 IPS |
|
|
Text Classification (SP)
|
100% |
180
240.5 IPS |
|
|
Text Classification (HP)
|
100% |
181
241.8 IPS |
|
|
Text Classification (Q)
|
91% |
334
448.3 IPS |
|
|
Machine Translation (SP)
|
100% |
307
5.28 IPS |
|
|
Machine Translation (HP)
|
100% |
310
5.35 IPS |
|
|
Machine Translation (Q)
|
57% |
286
6.99 IPS |
