samsung SM-A266M
Geekbench AI Score
462
Single Precision Score
822
Half Precision Score
685
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | November 16 2025 10:13 PM |
| Views | 3 |
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% |
277
51.6 IPS |
|
|
Image Classification (HP)
|
100% |
533
99.2 IPS |
|
|
Image Classification (Q)
|
97% |
503
93.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
399
6.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
940
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
940
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1806
2.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
3325
3.88 IPS |
|
|
Pose Estimation (Q)
|
95% |
3185
3.73 IPS |
|
|
Object Detection (SP)
|
100% |
268
21.3 IPS |
|
|
Object Detection (HP)
|
99% |
594
47.1 IPS |
|
|
Object Detection (Q)
|
83% |
502
40.5 IPS |
|
|
Face Detection (SP)
|
100% |
837
9.94 IPS |
|
|
Face Detection (HP)
|
100% |
1444
17.2 IPS |
|
|
Face Detection (Q)
|
96% |
1234
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1015
7.82 IPS |
|
|
Depth Estimation (HP)
|
98% |
1898
14.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
1608
15.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2871
3.69 IPS |
|
|
Style Transfer (HP)
|
100% |
6683
8.59 IPS |
|
|
Style Transfer (Q)
|
98% |
6283
8.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
467
17.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
861
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
881
32.6 IPS |
|
|
Text Classification (SP)
|
35% |
20
186.4 IPS |
|
|
Text Classification (HP)
|
29% |
20
340.6 IPS |
|
|
Text Classification (Q)
|
32% |
24
315.3 IPS |
|
|
Machine Translation (SP)
|
100% |
369
6.35 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.85 IPS |
|
|
Machine Translation (Q)
|
43% |
115
6.69 IPS |
