samsung SM-A042M
Geekbench AI Score
214
Single Precision Score
212
Half Precision Score
234
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 03:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6765V/CB |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A042M |
| Model ID | samsung SM-A042M |
| Motherboard | a04e |
| CPU Information | |
|---|---|
| Name | ARM MT6765V/CB |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 2.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
129
24.0 IPS |
|
|
Image Classification (HP)
|
100% |
125
23.2 IPS |
|
|
Image Classification (Q)
|
100% |
188
35.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
135
2.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
135
2.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
279
4.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
600
0.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
551
0.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
406
0.48 IPS |
|
|
Object Detection (SP)
|
100% |
102
8.13 IPS |
|
|
Object Detection (HP)
|
100% |
107
8.51 IPS |
|
|
Object Detection (Q)
|
83% |
155
12.5 IPS |
|
|
Face Detection (SP)
|
100% |
267
3.17 IPS |
|
|
Face Detection (HP)
|
100% |
270
3.21 IPS |
|
|
Face Detection (Q)
|
95% |
428
5.10 IPS |
|
|
Depth Estimation (SP)
|
100% |
359
2.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
316
2.44 IPS |
|
|
Depth Estimation (Q)
|
64% |
330
3.03 IPS |
|
|
Style Transfer (SP)
|
89% |
888
1.15 IPS |
|
|
Style Transfer (HP)
|
89% |
901
1.17 IPS |
|
|
Style Transfer (Q)
|
98% |
811
1.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
150
5.54 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
174
6.43 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
176
6.52 IPS |
|
|
Text Classification (SP)
|
100% |
114
152.7 IPS |
|
|
Text Classification (HP)
|
100% |
96
128.7 IPS |
|
|
Text Classification (Q)
|
88% |
122
164.7 IPS |
|
|
Machine Translation (SP)
|
100% |
134
2.30 IPS |
|
|
Machine Translation (HP)
|
100% |
150
2.59 IPS |
|
|
Machine Translation (Q)
|
50% |
63
2.23 IPS |
