samsung SM-A245M
Geekbench AI Score
208
Single Precision Score
313
Half Precision Score
193
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | GyBHard |
| Upload Date | February 06 2025 01:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A245M |
| Model ID | samsung SM-A245M |
| Motherboard | a24 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
119
22.1 IPS |
|
|
Image Classification (HP)
|
100% |
362
67.3 IPS |
|
|
Image Classification (Q)
|
97% |
52
9.72 IPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
146
2.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
85
1.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
789
0.92 IPS |
|
|
Pose Estimation (HP)
|
98% |
1895
2.22 IPS |
|
|
Pose Estimation (Q)
|
70% |
1072
1.37 IPS |
|
|
Object Detection (SP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (HP)
|
100% |
107
8.50 IPS |
|
|
Object Detection (Q)
|
80% |
84
6.81 IPS |
|
|
Face Detection (SP)
|
28% |
35
6.46 IPS |
|
|
Face Detection (HP)
|
100% |
283
3.36 IPS |
|
|
Face Detection (Q)
|
97% |
130
1.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
352
2.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
238
1.83 IPS |
|
|
Depth Estimation (Q)
|
57% |
244
2.67 IPS |
|
|
Style Transfer (SP)
|
100% |
690
0.89 IPS |
|
|
Style Transfer (HP)
|
100% |
398
0.51 IPS |
|
|
Style Transfer (Q)
|
98% |
1596
2.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
347
12.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
741
27.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
397
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
86
114.9 IPS |
|
|
Text Classification (HP)
|
100% |
158
211.4 IPS |
|
|
Text Classification (Q)
|
93% |
86
115.3 IPS |
|
|
Machine Translation (SP)
|
100% |
215
3.70 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (Q)
|
55% |
105
2.79 IPS |
