samsung SM-A366W
Geekbench AI Score
764
Single Precision Score
819
Half Precision Score
1478
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 11 2025 03:12 AM |
| Views | 4 |
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% |
440
81.8 IPS |
|
|
Image Classification (Q)
|
100% |
1440
267.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
516
8.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
524
8.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
1660
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1862
2.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1927
2.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
3747
4.44 IPS |
|
|
Object Detection (SP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (HP)
|
100% |
440
34.9 IPS |
|
|
Object Detection (Q)
|
83% |
1383
111.7 IPS |
|
|
Face Detection (SP)
|
100% |
1099
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1087
12.9 IPS |
|
|
Face Detection (Q)
|
95% |
3370
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
802
6.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
816
6.28 IPS |
|
|
Depth Estimation (Q)
|
64% |
3412
31.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3644
4.73 IPS |
|
|
Style Transfer (HP)
|
89% |
3433
4.46 IPS |
|
|
Style Transfer (Q)
|
98% |
7344
9.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
804
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
816
30.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1794
66.5 IPS |
|
|
Text Classification (SP)
|
100% |
436
581.8 IPS |
|
|
Text Classification (HP)
|
100% |
426
569.2 IPS |
|
|
Text Classification (Q)
|
88% |
916
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (Q)
|
50% |
29
1.04 IPS |
