samsung SM-A155F
Geekbench AI Score
282
Single Precision Score
432
Half Precision Score
378
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Willbeonekenobi |
| Upload Date | November 13 2025 09:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 3.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
202
37.7 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.8 IPS |
|
|
Image Classification (Q)
|
97% |
216
40.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
274
4.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
584
9.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
601
9.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
1161
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2098
2.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
1837
2.15 IPS |
|
|
Object Detection (SP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (HP)
|
99% |
272
21.6 IPS |
|
|
Object Detection (Q)
|
83% |
270
21.8 IPS |
|
|
Face Detection (SP)
|
100% |
611
7.26 IPS |
|
|
Face Detection (HP)
|
100% |
1193
14.2 IPS |
|
|
Face Detection (Q)
|
96% |
1119
13.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
812
6.25 IPS |
|
|
Depth Estimation (HP)
|
98% |
1510
11.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
1216
11.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1963
2.52 IPS |
|
|
Style Transfer (HP)
|
100% |
3874
4.98 IPS |
|
|
Style Transfer (Q)
|
98% |
3751
4.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
401
14.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
762
28.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
710
26.3 IPS |
|
|
Text Classification (SP)
|
35% |
6
54.3 IPS |
|
|
Text Classification (HP)
|
29% |
4
76.9 IPS |
|
|
Text Classification (Q)
|
32% |
6
75.1 IPS |
|
|
Machine Translation (SP)
|
100% |
160
2.75 IPS |
|
|
Machine Translation (HP)
|
100% |
177
3.06 IPS |
|
|
Machine Translation (Q)
|
43% |
43
2.49 IPS |
