samsung SM-A266B
Geekbench AI Score
195
Single Precision Score
360
Half Precision Score
517
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 14 2025 02:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A266B |
| Model ID | samsung SM-A266B |
| Motherboard | s5e8835 |
| 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 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
126
23.4 IPS |
|
|
Image Classification (HP)
|
100% |
126
23.4 IPS |
|
|
Image Classification (Q)
|
99% |
340
63.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
308
5.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
446
7.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
380
6.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
91
0.11 IPS |
|
|
Pose Estimation (HP)
|
99% |
2471
2.88 IPS |
|
|
Pose Estimation (Q)
|
98% |
862
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
126
10.0 IPS |
|
|
Object Detection (HP)
|
100% |
127
10.0 IPS |
|
|
Object Detection (Q)
|
87% |
367
29.4 IPS |
|
|
Face Detection (SP)
|
100% |
326
3.87 IPS |
|
|
Face Detection (HP)
|
100% |
328
3.90 IPS |
|
|
Face Detection (Q)
|
97% |
742
8.85 IPS |
|
|
Depth Estimation (SP)
|
100% |
282
2.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
283
2.18 IPS |
|
|
Depth Estimation (Q)
|
64% |
696
6.31 IPS |
|
|
Style Transfer (SP)
|
100% |
482
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
483
0.62 IPS |
|
|
Style Transfer (Q)
|
98% |
1348
1.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
74
2.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
859
31.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
491
18.2 IPS |
|
|
Text Classification (SP)
|
100% |
180
240.9 IPS |
|
|
Text Classification (HP)
|
100% |
181
241.3 IPS |
|
|
Text Classification (Q)
|
91% |
347
466.2 IPS |
|
|
Machine Translation (SP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (HP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (Q)
|
57% |
286
7.00 IPS |
