samsung SM-A366W
Geekbench AI Score
230
Single Precision Score
300
Half Precision Score
326
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 11 2025 06:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
163
30.3 IPS |
|
|
Image Classification (HP)
|
100% |
236
43.9 IPS |
|
|
Image Classification (Q)
|
96% |
229
42.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
268
4.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
324
5.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
316
5.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
207
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
295
0.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
293
0.34 IPS |
|
|
Object Detection (SP)
|
100% |
132
10.5 IPS |
|
|
Object Detection (HP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (Q)
|
87% |
168
13.5 IPS |
|
|
Face Detection (SP)
|
100% |
467
5.55 IPS |
|
|
Face Detection (HP)
|
100% |
631
7.49 IPS |
|
|
Face Detection (Q)
|
97% |
598
7.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
326
2.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
520
4.02 IPS |
|
|
Depth Estimation (Q)
|
63% |
427
3.96 IPS |
|
|
Style Transfer (SP)
|
100% |
801
1.03 IPS |
|
|
Style Transfer (HP)
|
100% |
1389
1.79 IPS |
|
|
Style Transfer (Q)
|
98% |
1437
1.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
132
4.88 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
155
5.71 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
153
5.67 IPS |
|
|
Text Classification (SP)
|
100% |
113
150.8 IPS |
|
|
Text Classification (HP)
|
100% |
113
150.7 IPS |
|
|
Text Classification (Q)
|
91% |
276
371.6 IPS |
|
|
Machine Translation (SP)
|
100% |
198
3.41 IPS |
|
|
Machine Translation (HP)
|
100% |
198
3.41 IPS |
|
|
Machine Translation (Q)
|
57% |
246
6.00 IPS |
