Samsung Galaxy Note20 Ultra
Geekbench ML Score
287
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 24 2022 06:17 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy Note20 Ultra |
| Model ID | samsung SM-N986B |
| Motherboard | exynos990 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 4 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.50 GHz |
| Cluster 3 | 2 Cores @ 2.73 GHz |
| Memory Information | |
|---|---|
| Size | 10.64 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
190
20.4 IPS |
|
|
Image Classification (F16)
|
100% |
188
20.1 IPS |
|
|
Image Classification (I8)
|
81% |
171
18.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
445
2.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
410
2.53 IPS |
|
|
Image Segmentation (I8)
|
89% |
673
4.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
216
0.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
214
0.86 IPS |
|
|
Pose Estimation (I8)
|
80% |
193
0.78 IPS |
|
|
Object Detection (F32)
|
100% |
235
8.24 IPS |
|
|
Object Detection (F16)
|
100% |
236
8.26 IPS |
|
|
Object Detection (I8)
|
52% |
212
7.45 IPS |
|
|
Face Detection (F32)
|
100% |
421
4.84 IPS |
|
|
Face Detection (F16)
|
100% |
419
4.82 IPS |
|
|
Face Detection (I8)
|
75% |
415
4.77 IPS |
|
|
Text Classification (F32)
|
100% |
243
96.2 IPS |
|
|
Text Classification (F16)
|
100% |
247
97.5 IPS |
|
|
Machine Translation (F32)
|
100% |
397
61.1 IPS |
|
|
Machine Translation (F16)
|
100% |
388
59.7 IPS |
