samsung SM-A366W
Geekbench AI Score
532
Single Precision Score
938
Half Precision Score
745
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 02:10 AM |
| Views | 2 |
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% |
402
74.7 IPS |
|
|
Image Classification (HP)
|
100% |
688
127.9 IPS |
|
|
Image Classification (Q)
|
100% |
639
118.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
581
9.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
1062
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
986
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1972
2.30 IPS |
|
|
Pose Estimation (HP)
|
99% |
3838
4.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
3793
4.44 IPS |
|
|
Object Detection (SP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (HP)
|
99% |
591
46.9 IPS |
|
|
Object Detection (Q)
|
87% |
561
45.1 IPS |
|
|
Face Detection (SP)
|
100% |
1026
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
2006
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
1752
20.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1170
9.01 IPS |
|
|
Depth Estimation (HP)
|
98% |
2316
17.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
1715
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2137
2.75 IPS |
|
|
Style Transfer (HP)
|
100% |
4548
5.85 IPS |
|
|
Style Transfer (Q)
|
98% |
4518
5.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
523
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1010
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
998
37.0 IPS |
|
|
Text Classification (SP)
|
35% |
22
213.1 IPS |
|
|
Text Classification (HP)
|
35% |
35
314.2 IPS |
|
|
Text Classification (Q)
|
33% |
26
310.2 IPS |
|
|
Machine Translation (SP)
|
100% |
376
6.47 IPS |
|
|
Machine Translation (HP)
|
97% |
426
7.36 IPS |
|
|
Machine Translation (Q)
|
43% |
113
6.40 IPS |
