samsung SM-S134DL
Geekbench ML Score
106
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 19 2023 02:36 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-S134DL |
| Model ID | samsung SM-S134DL |
| Motherboard | a03su |
| 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 |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
131
14.1 IPS |
|
|
Image Classification (F16)
|
61% |
160
17.2 IPS |
|
|
Image Classification (I8)
|
79% |
139
14.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
89
0.55 IPS |
|
|
Image Segmentation (F16)
|
100% |
88
0.54 IPS |
|
|
Image Segmentation (I8)
|
89% |
119
0.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
119
0.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
153
0.62 IPS |
|
|
Pose Estimation (I8)
|
87% |
151
0.61 IPS |
|
|
Object Detection (F32)
|
100% |
117
4.09 IPS |
|
|
Object Detection (F16)
|
60% |
128
4.49 IPS |
|
|
Object Detection (I8)
|
44% |
124
4.36 IPS |
|
|
Face Detection (F32)
|
100% |
234
2.69 IPS |
|
|
Face Detection (F16)
|
96% |
314
3.61 IPS |
|
|
Face Detection (I8)
|
74% |
244
2.80 IPS |
|
|
Text Classification (F32)
|
100% |
99
39.0 IPS |
|
|
Text Classification (F16)
|
54% |
92
36.6 IPS |
|
|
Machine Translation (F32)
|
100% |
13
1.95 IPS |
|
|
Machine Translation (F16)
|
100% |
12
1.91 IPS |
