samsung SM-A266M
Geekbench AI Score
224
Single Precision Score
293
Half Precision Score
364
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | November 16 2025 10:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-A266M |
| Model ID | samsung SM-A266M |
| Motherboard | s5e8825 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
119
22.2 IPS |
|
|
Image Classification (HP)
|
100% |
120
22.3 IPS |
|
|
Image Classification (Q)
|
99% |
324
60.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
193
3.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
249
4.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
370
6.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
680
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2181
2.54 IPS |
|
|
Pose Estimation (Q)
|
98% |
845
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
121
9.57 IPS |
|
|
Object Detection (HP)
|
100% |
121
9.60 IPS |
|
|
Object Detection (Q)
|
87% |
345
27.7 IPS |
|
|
Face Detection (SP)
|
100% |
305
3.62 IPS |
|
|
Face Detection (HP)
|
100% |
311
3.70 IPS |
|
|
Face Detection (Q)
|
97% |
704
8.40 IPS |
|
|
Depth Estimation (SP)
|
100% |
250
1.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
254
1.95 IPS |
|
|
Depth Estimation (Q)
|
64% |
646
5.86 IPS |
|
|
Style Transfer (SP)
|
100% |
562
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
439
0.56 IPS |
|
|
Style Transfer (Q)
|
98% |
380
0.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
239
8.83 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
350
12.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
443
16.4 IPS |
|
|
Text Classification (SP)
|
100% |
57
75.5 IPS |
|
|
Text Classification (HP)
|
100% |
171
228.9 IPS |
|
|
Text Classification (Q)
|
91% |
56
74.6 IPS |
|
|
Machine Translation (SP)
|
100% |
289
4.99 IPS |
|
|
Machine Translation (HP)
|
100% |
290
5.00 IPS |
|
|
Machine Translation (Q)
|
57% |
279
6.81 IPS |
