Samsung Galaxy S6
Geekbench ML Score
132
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 02 2024 07:16 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | Samsung Galaxy S6 |
| Model ID | samsung SM-G920F |
| Motherboard | universal7420 |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | ARM SAMSUNG |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 variant 0 part 3331 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 2.64 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
56
5.98 IPS |
|
|
Image Classification (F16)
|
100% |
56
6.01 IPS |
|
|
Image Classification (I8)
|
81% |
156
16.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
251
1.55 IPS |
|
|
Image Segmentation (F16)
|
100% |
253
1.56 IPS |
|
|
Image Segmentation (I8)
|
89% |
554
3.42 IPS |
|
|
Pose Estimation (F32)
|
100% |
92
0.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
81
0.33 IPS |
|
|
Pose Estimation (I8)
|
80% |
148
0.60 IPS |
|
|
Object Detection (F32)
|
100% |
88
3.10 IPS |
|
|
Object Detection (F16)
|
100% |
87
3.05 IPS |
|
|
Object Detection (I8)
|
52% |
200
7.02 IPS |
|
|
Face Detection (F32)
|
100% |
136
1.56 IPS |
|
|
Face Detection (F16)
|
100% |
137
1.57 IPS |
|
|
Face Detection (I8)
|
75% |
315
3.62 IPS |
|
|
Text Classification (F32)
|
100% |
158
62.7 IPS |
|
|
Text Classification (F16)
|
100% |
157
62.2 IPS |
|
|
Machine Translation (F32)
|
100% |
72
11.1 IPS |
|
|
Machine Translation (F16)
|
100% |
73
11.2 IPS |
