samsung SM-A366E
Geekbench AI Score
842
Single Precision Score
824
Half Precision Score
1660
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | March 10 2026 11:04 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-A366E |
| Model ID | samsung SM-A366E |
| Motherboard | parrot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
448
83.2 IPS |
|
|
Image Classification (HP)
|
100% |
438
81.4 IPS |
|
|
Image Classification (Q)
|
100% |
1233
229.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
493
8.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
498
8.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
1447
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1898
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1852
2.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
3218
3.82 IPS |
|
|
Object Detection (SP)
|
100% |
400
31.7 IPS |
|
|
Object Detection (HP)
|
100% |
388
30.7 IPS |
|
|
Object Detection (Q)
|
83% |
1118
90.3 IPS |
|
|
Face Detection (SP)
|
100% |
1037
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1030
12.2 IPS |
|
|
Face Detection (Q)
|
95% |
2773
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1478
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1459
11.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2713
24.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3313
4.30 IPS |
|
|
Style Transfer (HP)
|
89% |
3169
4.11 IPS |
|
|
Style Transfer (Q)
|
98% |
6894
8.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
789
29.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
793
29.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1623
60.1 IPS |
|
|
Text Classification (SP)
|
100% |
399
533.1 IPS |
|
|
Text Classification (HP)
|
100% |
393
524.8 IPS |
|
|
Text Classification (Q)
|
88% |
740
998.0 IPS |
|
|
Machine Translation (SP)
|
100% |
676
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (Q)
|
50% |
399
14.2 IPS |
