samsung SM-N981U
Geekbench ML Score
394
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 11 2024 01:40 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-N981U |
| Model ID | samsung SM-N981U |
| 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
361
38.7 IPS |
|
|
Image Classification (F16)
|
100% |
255
27.3 IPS |
|
|
Image Classification (I8)
|
81% |
189
20.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
595
3.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
611
3.77 IPS |
|
|
Image Segmentation (I8)
|
89% |
856
5.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
264
1.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
248
1.01 IPS |
|
|
Pose Estimation (I8)
|
80% |
234
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
373
13.1 IPS |
|
|
Object Detection (F16)
|
100% |
345
12.1 IPS |
|
|
Object Detection (I8)
|
52% |
283
9.94 IPS |
|
|
Face Detection (F32)
|
100% |
575
6.61 IPS |
|
|
Face Detection (F16)
|
100% |
631
7.25 IPS |
|
|
Face Detection (I8)
|
75% |
517
5.94 IPS |
|
|
Text Classification (F32)
|
100% |
309
122.2 IPS |
|
|
Text Classification (F16)
|
100% |
354
140.1 IPS |
|
|
Machine Translation (F32)
|
100% |
580
89.4 IPS |
|
|
Machine Translation (F16)
|
100% |
581
89.6 IPS |
