Samsung Galaxy S6
Geekbench ML Score
96
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2024 10:16 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| 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 1 part 3335 revision 0 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 4 Cores @ 1.50 GHz |
| Cluster 2 | 4 Cores @ 2.10 GHz |
| Memory Information | |
|---|---|
| Size | 2.64 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
85
9.08 IPS |
|
|
Image Classification (F16)
|
100% |
83
8.90 IPS |
|
|
Image Classification (I8)
|
81% |
70
7.54 IPS |
|
|
Image Segmentation (F32)
|
100% |
146
0.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
145
0.90 IPS |
|
|
Image Segmentation (I8)
|
89% |
261
1.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
50
0.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
50
0.20 IPS |
|
|
Pose Estimation (I8)
|
80% |
78
0.32 IPS |
|
|
Object Detection (F32)
|
100% |
101
3.56 IPS |
|
|
Object Detection (F16)
|
100% |
99
3.47 IPS |
|
|
Object Detection (I8)
|
52% |
128
4.51 IPS |
|
|
Face Detection (F32)
|
100% |
148
1.70 IPS |
|
|
Face Detection (F16)
|
100% |
144
1.65 IPS |
|
|
Face Detection (I8)
|
75% |
178
2.04 IPS |
|
|
Text Classification (F32)
|
100% |
101
39.8 IPS |
|
|
Text Classification (F16)
|
100% |
78
30.9 IPS |
|
|
Machine Translation (F32)
|
100% |
48
7.35 IPS |
|
|
Machine Translation (F16)
|
100% |
49
7.59 IPS |
