samsung SM-A235M
Geekbench ML Score
251
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 01 2023 02:29 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-A235M |
| Model ID | samsung SM-A235M |
| Motherboard | bengal |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| 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 | 3.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
149
16.0 IPS |
|
|
Image Classification (F16)
|
100% |
296
31.7 IPS |
|
|
Image Classification (I8)
|
80% |
261
27.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
311
1.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
610
3.76 IPS |
|
|
Image Segmentation (I8)
|
89% |
562
3.47 IPS |
|
|
Pose Estimation (F32)
|
100% |
138
0.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
259
1.05 IPS |
|
|
Pose Estimation (I8)
|
80% |
258
1.04 IPS |
|
|
Object Detection (F32)
|
100% |
130
4.56 IPS |
|
|
Object Detection (F16)
|
99% |
187
6.58 IPS |
|
|
Object Detection (I8)
|
53% |
176
6.16 IPS |
|
|
Face Detection (F32)
|
100% |
307
3.53 IPS |
|
|
Face Detection (F16)
|
97% |
543
6.24 IPS |
|
|
Face Detection (I8)
|
76% |
490
5.62 IPS |
|
|
Text Classification (F32)
|
100% |
182
71.9 IPS |
|
|
Text Classification (F16)
|
98% |
256
101.1 IPS |
|
|
Machine Translation (F32)
|
100% |
152
23.4 IPS |
|
|
Machine Translation (F16)
|
100% |
151
23.3 IPS |
