samsung SM-A366W
Geekbench AI Score
138
Single Precision Score
138
Half Precision Score
385
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 22 2025 02:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 5.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
80
14.9 IPS |
|
|
Image Classification (HP)
|
100% |
80
14.9 IPS |
|
|
Image Classification (Q)
|
99% |
255
47.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
110
1.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
111
1.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
299
4.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
139
0.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
139
0.16 IPS |
|
|
Pose Estimation (Q)
|
98% |
569
0.67 IPS |
|
|
Object Detection (SP)
|
100% |
79
6.24 IPS |
|
|
Object Detection (HP)
|
100% |
79
6.25 IPS |
|
|
Object Detection (Q)
|
87% |
268
21.5 IPS |
|
|
Face Detection (SP)
|
100% |
231
2.74 IPS |
|
|
Face Detection (HP)
|
100% |
232
2.76 IPS |
|
|
Face Detection (Q)
|
97% |
617
7.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
182
1.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
182
1.40 IPS |
|
|
Depth Estimation (Q)
|
64% |
512
4.64 IPS |
|
|
Style Transfer (SP)
|
100% |
329
0.42 IPS |
|
|
Style Transfer (HP)
|
100% |
329
0.42 IPS |
|
|
Style Transfer (Q)
|
98% |
1042
1.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
85
3.14 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
86
3.17 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
329
12.2 IPS |
|
|
Text Classification (SP)
|
100% |
113
150.2 IPS |
|
|
Text Classification (HP)
|
100% |
112
149.5 IPS |
|
|
Text Classification (Q)
|
91% |
277
372.6 IPS |
|
|
Machine Translation (SP)
|
100% |
197
3.39 IPS |
|
|
Machine Translation (HP)
|
100% |
197
3.40 IPS |
|
|
Machine Translation (Q)
|
57% |
207
5.06 IPS |
