samsung SM-A366W
Geekbench AI Score
841
Single Precision Score
767
Half Precision Score
1420
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 11 2025 06:38 PM |
| Views | 2 |
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% |
455
84.7 IPS |
|
|
Image Classification (HP)
|
100% |
204
38.0 IPS |
|
|
Image Classification (Q)
|
100% |
1450
269.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
525
8.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
532
8.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
1672
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2066
2.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
1864
2.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
3214
3.81 IPS |
|
|
Object Detection (SP)
|
100% |
428
33.9 IPS |
|
|
Object Detection (HP)
|
100% |
446
35.4 IPS |
|
|
Object Detection (Q)
|
83% |
1345
108.7 IPS |
|
|
Face Detection (SP)
|
100% |
1130
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
1108
13.2 IPS |
|
|
Face Detection (Q)
|
95% |
3167
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
787
6.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
792
6.11 IPS |
|
|
Depth Estimation (Q)
|
64% |
3292
30.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3593
4.66 IPS |
|
|
Style Transfer (HP)
|
89% |
3644
4.73 IPS |
|
|
Style Transfer (Q)
|
98% |
7364
9.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
840
31.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
840
31.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1781
66.0 IPS |
|
|
Text Classification (SP)
|
100% |
434
579.4 IPS |
|
|
Text Classification (HP)
|
100% |
416
555.9 IPS |
|
|
Text Classification (Q)
|
88% |
805
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (Q)
|
50% |
29
1.01 IPS |
