samsung SM-A245M
Geekbench AI Score
209
Single Precision Score
314
Half Precision Score
189
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | GyBHard |
| Upload Date | August 26 2025 09:32 AM |
| Views | 6 |
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% |
364
67.7 IPS |
|
|
Image Classification (Q)
|
97% |
41
7.72 IPS |
|
|
Image Segmentation (SP)
|
100% |
221
3.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
147
2.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
85
1.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
783
0.91 IPS |
|
|
Pose Estimation (HP)
|
98% |
1898
2.22 IPS |
|
|
Pose Estimation (Q)
|
70% |
1073
1.37 IPS |
|
|
Object Detection (SP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (HP)
|
100% |
107
8.52 IPS |
|
|
Object Detection (Q)
|
80% |
84
6.81 IPS |
|
|
Face Detection (SP)
|
28% |
35
6.50 IPS |
|
|
Face Detection (HP)
|
100% |
285
3.38 IPS |
|
|
Face Detection (Q)
|
97% |
131
1.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
352
2.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
239
1.84 IPS |
|
|
Depth Estimation (Q)
|
57% |
246
2.69 IPS |
|
|
Style Transfer (SP)
|
100% |
693
0.89 IPS |
|
|
Style Transfer (HP)
|
100% |
400
0.51 IPS |
|
|
Style Transfer (Q)
|
98% |
1614
2.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
348
12.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
737
27.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
395
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
88
116.9 IPS |
|
|
Text Classification (HP)
|
100% |
158
210.7 IPS |
|
|
Text Classification (Q)
|
93% |
86
115.0 IPS |
|
|
Machine Translation (SP)
|
100% |
216
3.73 IPS |
|
|
Machine Translation (HP)
|
100% |
273
4.70 IPS |
|
|
Machine Translation (Q)
|
55% |
106
2.80 IPS |
