samsung SM-A155F
Geekbench AI Score
87
Single Precision Score
108
Half Precision Score
88
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 12 2026 10:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-A155F |
| Model ID | samsung SM-A155F |
| Motherboard | a15 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
42
7.87 IPS |
|
|
Image Classification (HP)
|
100% |
54
10.1 IPS |
|
|
Image Classification (Q)
|
97% |
51
9.43 IPS |
|
|
Image Segmentation (SP)
|
100% |
140
2.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
166
2.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
763
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
938
1.09 IPS |
|
|
Pose Estimation (Q)
|
95% |
1066
1.25 IPS |
|
|
Object Detection (SP)
|
100% |
46
3.62 IPS |
|
|
Object Detection (HP)
|
99% |
62
4.92 IPS |
|
|
Object Detection (Q)
|
83% |
54
4.34 IPS |
|
|
Face Detection (SP)
|
100% |
190
2.26 IPS |
|
|
Face Detection (HP)
|
100% |
246
2.93 IPS |
|
|
Face Detection (Q)
|
96% |
229
2.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
246
1.89 IPS |
|
|
Depth Estimation (HP)
|
98% |
278
2.15 IPS |
|
|
Depth Estimation (Q)
|
62% |
213
2.02 IPS |
|
|
Style Transfer (SP)
|
100% |
1474
1.89 IPS |
|
|
Style Transfer (HP)
|
100% |
2496
3.21 IPS |
|
|
Style Transfer (Q)
|
98% |
2453
3.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
114
4.19 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
132
4.86 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
124
4.59 IPS |
|
|
Text Classification (SP)
|
35% |
1
10.7 IPS |
|
|
Text Classification (HP)
|
35% |
1
12.0 IPS |
|
|
Text Classification (Q)
|
33% |
1
10.3 IPS |
|
|
Machine Translation (SP)
|
100% |
16
0.28 IPS |
|
|
Machine Translation (HP)
|
100% |
19
0.32 IPS |
|
|
Machine Translation (Q)
|
43% |
4
0.22 IPS |
