samsung SM-A266M
Geekbench AI Score
229
Single Precision Score
294
Half Precision Score
364
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | March 10 2026 11:43 AM |
| Views | 10 |
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% |
188
3.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
263
4.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
372
6.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
682
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
2181
2.54 IPS |
|
|
Pose Estimation (Q)
|
98% |
844
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
121
9.56 IPS |
|
|
Object Detection (HP)
|
100% |
121
9.59 IPS |
|
|
Object Detection (Q)
|
87% |
347
27.8 IPS |
|
|
Face Detection (SP)
|
100% |
309
3.67 IPS |
|
|
Face Detection (HP)
|
100% |
312
3.71 IPS |
|
|
Face Detection (Q)
|
97% |
707
8.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
256
1.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
259
1.99 IPS |
|
|
Depth Estimation (Q)
|
64% |
646
5.87 IPS |
|
|
Style Transfer (SP)
|
100% |
560
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
436
0.56 IPS |
|
|
Style Transfer (Q)
|
98% |
381
0.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
241
8.89 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
342
12.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
444
16.4 IPS |
|
|
Text Classification (SP)
|
100% |
70
94.0 IPS |
|
|
Text Classification (HP)
|
100% |
170
226.4 IPS |
|
|
Text Classification (Q)
|
91% |
55
73.7 IPS |
|
|
Machine Translation (SP)
|
100% |
289
4.98 IPS |
|
|
Machine Translation (HP)
|
100% |
289
4.99 IPS |
|
|
Machine Translation (Q)
|
57% |
278
6.80 IPS |
