Samsung Galaxy Note 8
Geekbench ML Score
627
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | almaspite |
| Upload Date | March 28 2026 12:32 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Android 9 |
| Model | Samsung Galaxy Note 8 |
| Model ID | samsung SM-N950F |
| Motherboard | universal8895 |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 4 part 1 revision 0 |
| Base Frequency | 1.69 GHz |
| Cluster 1 | 4 Cores @ 1.69 GHz |
| Cluster 2 | 4 Cores @ 2.31 GHz |
| Memory Information | |
|---|---|
| Size | 5.21 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
490
52.6 IPS |
|
|
Image Classification (F16)
|
100% |
844
90.4 IPS |
|
|
Image Classification (I8)
|
81% |
801
85.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1208
7.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
2578
15.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
2461
15.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
257
1.04 IPS |
|
|
Pose Estimation (F16)
|
0% |
977
3.95 IPS |
|
|
Pose Estimation (I8)
|
0% |
983
3.98 IPS |
|
|
Object Detection (F32)
|
100% |
214
7.49 IPS |
|
|
Object Detection (F16)
|
99% |
251
8.82 IPS |
|
|
Object Detection (I8)
|
54% |
244
8.55 IPS |
|
|
Face Detection (F32)
|
100% |
1089
12.5 IPS |
|
|
Face Detection (F16)
|
97% |
2085
24.0 IPS |
|
|
Face Detection (I8)
|
75% |
1791
20.6 IPS |
|
|
Text Classification (F32)
|
100% |
548
216.8 IPS |
|
|
Text Classification (F16)
|
98% |
630
249.3 IPS |
|
|
Machine Translation (F32)
|
100% |
110
17.0 IPS |
|
|
Machine Translation (F16)
|
100% |
111
17.2 IPS |
