samsung SM-I610
Geekbench AI Score
216
Single Precision Score
215
Half Precision Score
518
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2025 09:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
126
23.4 IPS |
|
|
Image Classification (HP)
|
100% |
126
23.4 IPS |
|
|
Image Classification (Q)
|
99% |
340
63.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
169
2.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
366
5.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
227
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
224
0.26 IPS |
|
|
Pose Estimation (Q)
|
98% |
870
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
125
9.93 IPS |
|
|
Object Detection (HP)
|
100% |
125
9.89 IPS |
|
|
Object Detection (Q)
|
87% |
367
29.4 IPS |
|
|
Face Detection (SP)
|
100% |
327
3.89 IPS |
|
|
Face Detection (HP)
|
100% |
329
3.91 IPS |
|
|
Face Detection (Q)
|
97% |
745
8.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
280
2.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
280
2.16 IPS |
|
|
Depth Estimation (Q)
|
64% |
708
6.42 IPS |
|
|
Style Transfer (SP)
|
100% |
500
0.64 IPS |
|
|
Style Transfer (HP)
|
100% |
501
0.64 IPS |
|
|
Style Transfer (Q)
|
98% |
1376
1.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
140
5.17 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
140
5.15 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
502
18.6 IPS |
|
|
Text Classification (SP)
|
100% |
184
246.0 IPS |
|
|
Text Classification (HP)
|
100% |
180
239.8 IPS |
|
|
Text Classification (Q)
|
91% |
336
451.1 IPS |
|
|
Machine Translation (SP)
|
100% |
317
5.47 IPS |
|
|
Machine Translation (HP)
|
100% |
314
5.40 IPS |
|
|
Machine Translation (Q)
|
57% |
286
6.98 IPS |
