samsung SM-A155F
Geekbench AI Score
492
Single Precision Score
499
Half Precision Score
910
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 07:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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
41.4 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.7 IPS |
|
|
Image Classification (Q)
|
100% |
648
120.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
279
4.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
279
4.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
716
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1094
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1096
1.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
1610
1.91 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (Q)
|
83% |
635
51.3 IPS |
|
|
Face Detection (SP)
|
100% |
713
8.47 IPS |
|
|
Face Detection (HP)
|
100% |
722
8.58 IPS |
|
|
Face Detection (Q)
|
95% |
1467
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
833
6.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
915
7.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
1463
13.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1854
2.41 IPS |
|
|
Style Transfer (HP)
|
89% |
1837
2.39 IPS |
|
|
Style Transfer (Q)
|
98% |
3690
4.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
498
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
495
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
783
29.0 IPS |
|
|
Text Classification (SP)
|
100% |
226
301.1 IPS |
|
|
Text Classification (HP)
|
100% |
220
294.0 IPS |
|
|
Text Classification (Q)
|
88% |
419
565.0 IPS |
|
|
Machine Translation (SP)
|
100% |
440
7.57 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (Q)
|
50% |
319
11.3 IPS |
