Samsung Galaxy Note10+
Geekbench ML Score
366
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2022 05:40 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy Note10+ |
| Model ID | samsung SM-N975U |
| Motherboard | msmnile |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 11.17 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
312
33.4 IPS |
|
|
Image Classification (F16)
|
100% |
312
33.5 IPS |
|
|
Image Classification (I8)
|
81% |
177
18.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
515
3.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
511
3.15 IPS |
|
|
Image Segmentation (I8)
|
89% |
802
4.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
223
0.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
222
0.90 IPS |
|
|
Pose Estimation (I8)
|
80% |
219
0.88 IPS |
|
|
Object Detection (F32)
|
100% |
395
13.9 IPS |
|
|
Object Detection (F16)
|
100% |
376
13.2 IPS |
|
|
Object Detection (I8)
|
52% |
277
9.71 IPS |
|
|
Face Detection (F32)
|
100% |
575
6.61 IPS |
|
|
Face Detection (F16)
|
100% |
565
6.49 IPS |
|
|
Face Detection (I8)
|
75% |
495
5.68 IPS |
|
|
Text Classification (F32)
|
100% |
310
122.7 IPS |
|
|
Text Classification (F16)
|
100% |
329
130.2 IPS |
|
|
Machine Translation (F32)
|
100% |
448
69.1 IPS |
|
|
Machine Translation (F16)
|
100% |
447
68.8 IPS |
