samsung SM-A165M
Geekbench AI Score
90
Single Precision Score
108
Half Precision Score
90
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 11 2026 06:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-A165M |
| Model ID | samsung SM-A165M |
| Motherboard | a16 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 5.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
53
9.92 IPS |
|
|
Image Classification (HP)
|
100% |
54
10.1 IPS |
|
|
Image Classification (Q)
|
97% |
52
9.66 IPS |
|
|
Image Segmentation (SP)
|
100% |
125
2.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
160
2.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
160
2.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
673
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
911
1.06 IPS |
|
|
Pose Estimation (Q)
|
95% |
824
0.97 IPS |
|
|
Object Detection (SP)
|
100% |
57
4.55 IPS |
|
|
Object Detection (HP)
|
99% |
81
6.39 IPS |
|
|
Object Detection (Q)
|
83% |
79
6.40 IPS |
|
|
Face Detection (SP)
|
100% |
246
2.92 IPS |
|
|
Face Detection (HP)
|
100% |
344
4.09 IPS |
|
|
Face Detection (Q)
|
96% |
360
4.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
230
1.77 IPS |
|
|
Depth Estimation (HP)
|
98% |
262
2.03 IPS |
|
|
Depth Estimation (Q)
|
62% |
211
2.00 IPS |
|
|
Style Transfer (SP)
|
100% |
1499
1.93 IPS |
|
|
Style Transfer (HP)
|
100% |
2036
2.62 IPS |
|
|
Style Transfer (Q)
|
98% |
1986
2.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
109
4.02 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
117
4.33 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
117
4.32 IPS |
|
|
Text Classification (SP)
|
35% |
1
10.9 IPS |
|
|
Text Classification (HP)
|
29% |
1
11.6 IPS |
|
|
Text Classification (Q)
|
29% |
1
13.4 IPS |
|
|
Machine Translation (SP)
|
100% |
15
0.27 IPS |
|
|
Machine Translation (HP)
|
100% |
17
0.29 IPS |
|
|
Machine Translation (Q)
|
43% |
4
0.21 IPS |
