Samsung Galaxy Note20 Ultra 5G
Geekbench ML Score
366
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 31 2023 11:36 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy Note20 Ultra 5G |
| Model ID | samsung SM-N986U |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.09 GHz |
| Memory Information | |
|---|---|
| Size | 10.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
273
29.3 IPS |
|
|
Image Classification (F16)
|
100% |
274
29.4 IPS |
|
|
Image Classification (I8)
|
81% |
193
20.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
553
3.42 IPS |
|
|
Image Segmentation (F16)
|
100% |
543
3.36 IPS |
|
|
Image Segmentation (I8)
|
89% |
764
4.72 IPS |
|
|
Pose Estimation (F32)
|
100% |
243
0.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
250
1.01 IPS |
|
|
Pose Estimation (I8)
|
80% |
221
0.90 IPS |
|
|
Object Detection (F32)
|
100% |
376
13.2 IPS |
|
|
Object Detection (F16)
|
100% |
301
10.6 IPS |
|
|
Object Detection (I8)
|
52% |
301
10.5 IPS |
|
|
Face Detection (F32)
|
100% |
572
6.57 IPS |
|
|
Face Detection (F16)
|
100% |
599
6.88 IPS |
|
|
Face Detection (I8)
|
75% |
480
5.52 IPS |
|
|
Text Classification (F32)
|
100% |
332
131.3 IPS |
|
|
Text Classification (F16)
|
100% |
335
132.6 IPS |
|
|
Machine Translation (F32)
|
100% |
441
67.9 IPS |
|
|
Machine Translation (F16)
|
100% |
438
67.6 IPS |
