samsung SM-A366W
Geekbench AI Score
531
Single Precision Score
944
Half Precision Score
746
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 21 2026 12:39 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 5.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
408
75.8 IPS |
|
|
Image Classification (HP)
|
100% |
698
129.9 IPS |
|
|
Image Classification (Q)
|
100% |
664
123.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
584
9.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
1083
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
966
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1995
2.33 IPS |
|
|
Pose Estimation (HP)
|
99% |
3776
4.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
3759
4.40 IPS |
|
|
Object Detection (SP)
|
100% |
350
27.7 IPS |
|
|
Object Detection (HP)
|
99% |
591
46.9 IPS |
|
|
Object Detection (Q)
|
87% |
552
44.3 IPS |
|
|
Face Detection (SP)
|
100% |
1040
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
2111
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
1810
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1172
9.03 IPS |
|
|
Depth Estimation (HP)
|
98% |
2297
17.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
1735
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2060
2.65 IPS |
|
|
Style Transfer (HP)
|
100% |
4453
5.72 IPS |
|
|
Style Transfer (Q)
|
98% |
4441
5.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
514
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1001
36.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
983
36.4 IPS |
|
|
Text Classification (SP)
|
35% |
22
216.3 IPS |
|
|
Text Classification (HP)
|
35% |
35
320.7 IPS |
|
|
Text Classification (Q)
|
33% |
26
314.6 IPS |
|
|
Machine Translation (SP)
|
100% |
381
6.55 IPS |
|
|
Machine Translation (HP)
|
97% |
442
7.64 IPS |
|
|
Machine Translation (Q)
|
43% |
114
6.46 IPS |
