samsung SM-A366W
Geekbench AI Score
780
Single Precision Score
843
Half Precision Score
1487
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 21 2025 08:36 PM |
| Views | 3 |
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% |
195
36.3 IPS |
|
|
Image Classification (HP)
|
100% |
455
84.6 IPS |
|
|
Image Classification (Q)
|
100% |
1442
268.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
497
8.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
528
8.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
1661
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2041
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1980
2.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
3761
4.46 IPS |
|
|
Object Detection (SP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (HP)
|
100% |
452
35.8 IPS |
|
|
Object Detection (Q)
|
83% |
1385
111.9 IPS |
|
|
Face Detection (SP)
|
100% |
1132
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
1128
13.4 IPS |
|
|
Face Detection (Q)
|
95% |
3266
39.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
786
6.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
789
6.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
3405
31.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3686
4.78 IPS |
|
|
Style Transfer (HP)
|
89% |
3310
4.30 IPS |
|
|
Style Transfer (Q)
|
98% |
7675
9.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
850
31.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
849
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1878
69.6 IPS |
|
|
Text Classification (SP)
|
100% |
460
614.5 IPS |
|
|
Text Classification (HP)
|
100% |
475
634.4 IPS |
|
|
Text Classification (Q)
|
88% |
882
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
717
12.3 IPS |
|
|
Machine Translation (Q)
|
50% |
30
1.05 IPS |
