samsung SM-A155F
Geekbench AI Score
301
Single Precision Score
525
Half Precision Score
432
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 10 2025 09:26 AM |
| Views | 7 |
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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
179
33.4 IPS |
|
|
Image Classification (HP)
|
100% |
295
54.9 IPS |
|
|
Image Classification (Q)
|
97% |
327
61.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
267
4.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
584
9.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
537
8.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
1027
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2174
2.54 IPS |
|
|
Pose Estimation (Q)
|
95% |
1932
2.26 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
99% |
384
30.4 IPS |
|
|
Object Detection (Q)
|
83% |
338
27.3 IPS |
|
|
Face Detection (SP)
|
100% |
652
7.75 IPS |
|
|
Face Detection (HP)
|
100% |
1493
17.7 IPS |
|
|
Face Detection (Q)
|
96% |
1274
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
811
6.25 IPS |
|
|
Depth Estimation (HP)
|
98% |
1586
12.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
1305
12.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1913
2.46 IPS |
|
|
Style Transfer (HP)
|
100% |
3998
5.14 IPS |
|
|
Style Transfer (Q)
|
98% |
3914
5.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
406
15.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
780
28.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
750
27.8 IPS |
|
|
Text Classification (SP)
|
35% |
8
72.7 IPS |
|
|
Text Classification (HP)
|
29% |
6
95.3 IPS |
|
|
Text Classification (Q)
|
32% |
7
93.7 IPS |
|
|
Machine Translation (SP)
|
100% |
226
3.89 IPS |
|
|
Machine Translation (HP)
|
100% |
251
4.32 IPS |
|
|
Machine Translation (Q)
|
43% |
58
3.39 IPS |
