samsung SM-A057M
Geekbench AI Score
204
Single Precision Score
202
Half Precision Score
187
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 05:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A057M |
| Model ID | samsung SM-A057M |
| Motherboard | bengal |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
111
20.6 IPS |
|
|
Image Classification (HP)
|
100% |
107
19.9 IPS |
|
|
Image Classification (Q)
|
100% |
135
25.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
134
2.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
135
2.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
176
2.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
480
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
470
0.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
288
0.34 IPS |
|
|
Object Detection (SP)
|
100% |
105
8.31 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.70 IPS |
|
|
Object Detection (Q)
|
83% |
136
11.0 IPS |
|
|
Face Detection (SP)
|
100% |
254
3.02 IPS |
|
|
Face Detection (HP)
|
100% |
264
3.14 IPS |
|
|
Face Detection (Q)
|
95% |
316
3.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
335
2.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
295
2.27 IPS |
|
|
Depth Estimation (Q)
|
64% |
254
2.33 IPS |
|
|
Style Transfer (SP)
|
89% |
657
0.85 IPS |
|
|
Style Transfer (HP)
|
89% |
658
0.85 IPS |
|
|
Style Transfer (Q)
|
98% |
694
0.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
168
6.19 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
167
6.17 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
152
5.64 IPS |
|
|
Text Classification (SP)
|
100% |
106
140.9 IPS |
|
|
Text Classification (HP)
|
100% |
106
142.1 IPS |
|
|
Text Classification (Q)
|
88% |
80
108.4 IPS |
|
|
Machine Translation (SP)
|
100% |
170
2.93 IPS |
|
|
Machine Translation (HP)
|
100% |
172
2.97 IPS |
|
|
Machine Translation (Q)
|
50% |
85
3.02 IPS |
