samsung SM-S134DL
Geekbench ML Score
50
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 19 2023 02:53 AM |
| Views | 2 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
36
3.85 IPS |
|
|
Image Classification (F16)
|
100% |
35
3.80 IPS |
|
|
Image Classification (I8)
|
81% |
67
7.18 IPS |
|
|
Image Segmentation (F32)
|
100% |
89
0.55 IPS |
|
|
Image Segmentation (F16)
|
100% |
89
0.55 IPS |
|
|
Image Segmentation (I8)
|
89% |
123
0.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
36
0.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
36
0.14 IPS |
|
|
Pose Estimation (I8)
|
80% |
20
0.08 IPS |
|
|
Object Detection (F32)
|
100% |
52
1.82 IPS |
|
|
Object Detection (F16)
|
100% |
51
1.80 IPS |
|
|
Object Detection (I8)
|
52% |
85
2.97 IPS |
|
|
Face Detection (F32)
|
100% |
76
0.88 IPS |
|
|
Face Detection (F16)
|
100% |
76
0.88 IPS |
|
|
Face Detection (I8)
|
75% |
95
1.09 IPS |
|
|
Text Classification (F32)
|
100% |
81
32.0 IPS |
|
|
Text Classification (F16)
|
100% |
81
32.0 IPS |
|
|
Machine Translation (F32)
|
100% |
12
1.90 IPS |
|
|
Machine Translation (F16)
|
100% |
12
1.90 IPS |
