samsung SM-A245M
Geekbench AI Score
469
Single Precision Score
475
Half Precision Score
850
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | GyBHard |
| Upload Date | February 06 2025 02:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
226
42.0 IPS |
|
|
Image Classification (HP)
|
100% |
225
41.9 IPS |
|
|
Image Classification (Q)
|
100% |
655
121.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
282
4.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
282
4.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
719
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1104
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1107
1.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
1469
1.74 IPS |
|
|
Object Detection (SP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (HP)
|
100% |
226
18.0 IPS |
|
|
Object Detection (Q)
|
83% |
588
47.5 IPS |
|
|
Face Detection (SP)
|
100% |
694
8.24 IPS |
|
|
Face Detection (HP)
|
100% |
684
8.13 IPS |
|
|
Face Detection (Q)
|
95% |
1309
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
825
6.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
850
6.55 IPS |
|
|
Depth Estimation (Q)
|
64% |
1269
11.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1590
2.06 IPS |
|
|
Style Transfer (HP)
|
89% |
1615
2.10 IPS |
|
|
Style Transfer (Q)
|
98% |
3175
4.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
449
16.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
449
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
755
28.0 IPS |
|
|
Text Classification (SP)
|
100% |
225
300.0 IPS |
|
|
Text Classification (HP)
|
100% |
219
292.2 IPS |
|
|
Text Classification (Q)
|
88% |
406
548.1 IPS |
|
|
Machine Translation (SP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (HP)
|
100% |
405
6.98 IPS |
|
|
Machine Translation (Q)
|
50% |
301
10.7 IPS |
