samsung SM-A155F
Geekbench AI Score
476
Single Precision Score
467
Half Precision Score
849
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Willbeonekenobi |
| Upload Date | November 13 2025 09:15 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
223
41.5 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.6 IPS |
|
|
Image Classification (Q)
|
100% |
644
119.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
277
4.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
277
4.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
714
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1097
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1073
1.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
1606
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
225
17.9 IPS |
|
|
Object Detection (HP)
|
100% |
219
17.4 IPS |
|
|
Object Detection (Q)
|
83% |
561
45.3 IPS |
|
|
Face Detection (SP)
|
100% |
667
7.93 IPS |
|
|
Face Detection (HP)
|
100% |
649
7.72 IPS |
|
|
Face Detection (Q)
|
95% |
1264
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
851
6.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
770
5.93 IPS |
|
|
Depth Estimation (Q)
|
64% |
1261
11.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1670
2.17 IPS |
|
|
Style Transfer (HP)
|
89% |
1626
2.11 IPS |
|
|
Style Transfer (Q)
|
98% |
3147
4.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
448
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
460
17.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
784
29.0 IPS |
|
|
Text Classification (SP)
|
100% |
222
296.6 IPS |
|
|
Text Classification (HP)
|
100% |
223
297.8 IPS |
|
|
Text Classification (Q)
|
88% |
403
544.2 IPS |
|
|
Machine Translation (SP)
|
100% |
421
7.25 IPS |
|
|
Machine Translation (HP)
|
100% |
413
7.11 IPS |
|
|
Machine Translation (Q)
|
50% |
299
10.6 IPS |
