samsung SM-A366W
Geekbench AI Score
534
Single Precision Score
939
Half Precision Score
747
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2025 11:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-A366W |
| Model ID | samsung SM-A366W |
| 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 | 5.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
410
76.2 IPS |
|
|
Image Classification (HP)
|
100% |
686
127.6 IPS |
|
|
Image Classification (Q)
|
100% |
647
120.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
583
9.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
1034
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
979
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2005
2.34 IPS |
|
|
Pose Estimation (HP)
|
99% |
3841
4.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
3799
4.45 IPS |
|
|
Object Detection (SP)
|
100% |
352
28.0 IPS |
|
|
Object Detection (HP)
|
99% |
580
46.0 IPS |
|
|
Object Detection (Q)
|
87% |
554
44.5 IPS |
|
|
Face Detection (SP)
|
100% |
1041
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
2049
24.4 IPS |
|
|
Face Detection (Q)
|
97% |
1783
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1179
9.08 IPS |
|
|
Depth Estimation (HP)
|
98% |
2310
17.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
1716
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2170
2.79 IPS |
|
|
Style Transfer (HP)
|
100% |
4555
5.86 IPS |
|
|
Style Transfer (Q)
|
98% |
4513
5.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
506
18.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1037
38.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1020
37.8 IPS |
|
|
Text Classification (SP)
|
35% |
22
217.5 IPS |
|
|
Text Classification (HP)
|
35% |
35
314.4 IPS |
|
|
Text Classification (Q)
|
33% |
26
311.5 IPS |
|
|
Machine Translation (SP)
|
100% |
378
6.50 IPS |
|
|
Machine Translation (HP)
|
97% |
433
7.49 IPS |
|
|
Machine Translation (Q)
|
43% |
111
6.30 IPS |
