samsung SM-A266M
Geekbench AI Score
476
Single Precision Score
833
Half Precision Score
693
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | March 10 2026 11:15 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
323
60.1 IPS |
|
|
Image Classification (HP)
|
100% |
640
118.9 IPS |
|
|
Image Classification (Q)
|
97% |
563
105.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
427
6.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
945
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
893
14.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1864
2.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
3182
3.71 IPS |
|
|
Pose Estimation (Q)
|
95% |
3056
3.58 IPS |
|
|
Object Detection (SP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (HP)
|
99% |
499
39.6 IPS |
|
|
Object Detection (Q)
|
83% |
472
38.1 IPS |
|
|
Face Detection (SP)
|
100% |
897
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
1456
17.3 IPS |
|
|
Face Detection (Q)
|
96% |
1234
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1030
7.94 IPS |
|
|
Depth Estimation (HP)
|
98% |
2114
16.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
1494
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2913
3.74 IPS |
|
|
Style Transfer (HP)
|
100% |
6422
8.26 IPS |
|
|
Style Transfer (Q)
|
98% |
6295
8.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
454
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
933
34.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1067
39.5 IPS |
|
|
Text Classification (SP)
|
35% |
20
178.0 IPS |
|
|
Text Classification (HP)
|
29% |
19
324.0 IPS |
|
|
Text Classification (Q)
|
32% |
24
313.5 IPS |
|
|
Machine Translation (SP)
|
100% |
359
6.19 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.27 IPS |
|
|
Machine Translation (Q)
|
43% |
119
6.92 IPS |
