samsung SM-A366W
Geekbench AI Score
230
Single Precision Score
301
Half Precision Score
329
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 11 2025 07:58 AM |
| Views | 9 |
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% |
159
29.6 IPS |
|
|
Image Classification (HP)
|
100% |
227
42.3 IPS |
|
|
Image Classification (Q)
|
96% |
229
42.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
270
4.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
324
5.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
317
5.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
208
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
313
0.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
315
0.37 IPS |
|
|
Object Detection (SP)
|
100% |
133
10.5 IPS |
|
|
Object Detection (HP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (Q)
|
87% |
170
13.7 IPS |
|
|
Face Detection (SP)
|
100% |
468
5.56 IPS |
|
|
Face Detection (HP)
|
100% |
635
7.55 IPS |
|
|
Face Detection (Q)
|
97% |
598
7.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
329
2.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
520
4.02 IPS |
|
|
Depth Estimation (Q)
|
63% |
436
4.04 IPS |
|
|
Style Transfer (SP)
|
100% |
802
1.03 IPS |
|
|
Style Transfer (HP)
|
100% |
1370
1.76 IPS |
|
|
Style Transfer (Q)
|
98% |
1421
1.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
130
4.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
155
5.74 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
153
5.67 IPS |
|
|
Text Classification (SP)
|
100% |
113
150.8 IPS |
|
|
Text Classification (HP)
|
100% |
113
150.6 IPS |
|
|
Text Classification (Q)
|
91% |
277
371.8 IPS |
|
|
Machine Translation (SP)
|
100% |
197
3.39 IPS |
|
|
Machine Translation (HP)
|
100% |
198
3.40 IPS |
|
|
Machine Translation (Q)
|
57% |
245
5.98 IPS |
