samsung SM-A366W
Geekbench AI Score
765
Single Precision Score
843
Half Precision Score
1512
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 21 2025 01:28 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
193
36.0 IPS |
|
|
Image Classification (HP)
|
100% |
452
84.0 IPS |
|
|
Image Classification (Q)
|
100% |
1373
255.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
426
6.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
456
7.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
1661
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2039
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1990
2.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
3675
4.36 IPS |
|
|
Object Detection (SP)
|
100% |
456
36.2 IPS |
|
|
Object Detection (HP)
|
100% |
453
35.9 IPS |
|
|
Object Detection (Q)
|
83% |
1385
111.8 IPS |
|
|
Face Detection (SP)
|
100% |
1115
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
1113
13.2 IPS |
|
|
Face Detection (Q)
|
95% |
3384
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
769
5.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
781
6.02 IPS |
|
|
Depth Estimation (Q)
|
64% |
3411
31.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3652
4.74 IPS |
|
|
Style Transfer (HP)
|
89% |
3682
4.78 IPS |
|
|
Style Transfer (Q)
|
98% |
8600
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
823
30.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
860
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1968
72.9 IPS |
|
|
Text Classification (SP)
|
100% |
483
644.8 IPS |
|
|
Text Classification (HP)
|
100% |
492
656.1 IPS |
|
|
Text Classification (Q)
|
88% |
924
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
723
12.4 IPS |
|
|
Machine Translation (Q)
|
50% |
30
1.05 IPS |
