Samsung Galaxy Note20 Ultra
Geekbench ML Score
388
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 18 2024 08:50 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
117
12.5 IPS |
|
|
Image Classification (F16)
|
100% |
117
12.6 IPS |
|
|
Image Classification (I8)
|
81% |
212
22.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
341
2.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
341
2.10 IPS |
|
|
Image Segmentation (I8)
|
89% |
1234
7.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
422
1.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
1482
6.00 IPS |
|
|
Pose Estimation (I8)
|
80% |
1472
5.96 IPS |
|
|
Object Detection (F32)
|
100% |
457
16.1 IPS |
|
|
Object Detection (F16)
|
99% |
556
19.5 IPS |
|
|
Object Detection (I8)
|
52% |
256
8.98 IPS |
|
|
Face Detection (F32)
|
100% |
272
3.13 IPS |
|
|
Face Detection (F16)
|
100% |
271
3.11 IPS |
|
|
Face Detection (I8)
|
75% |
297
3.41 IPS |
|
|
Text Classification (F32)
|
100% |
519
205.3 IPS |
|
|
Text Classification (F16)
|
100% |
519
205.3 IPS |
|
|
Machine Translation (F32)
|
100% |
331
51.0 IPS |
|
|
Machine Translation (F16)
|
100% |
329
50.7 IPS |
