samsung SM-F741B
Geekbench ML Score
515
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 02 2024 05:36 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-F741B |
| Model ID | samsung SM-F741B |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
556
59.6 IPS |
|
|
Image Classification (F16)
|
100% |
454
48.7 IPS |
|
|
Image Classification (I8)
|
81% |
500
53.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
797
4.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
758
4.68 IPS |
|
|
Image Segmentation (I8)
|
89% |
830
5.13 IPS |
|
|
Pose Estimation (F32)
|
100% |
375
1.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
344
1.39 IPS |
|
|
Pose Estimation (I8)
|
80% |
119
0.48 IPS |
|
|
Object Detection (F32)
|
100% |
401
14.1 IPS |
|
|
Object Detection (F16)
|
100% |
362
12.7 IPS |
|
|
Object Detection (I8)
|
52% |
363
12.7 IPS |
|
|
Face Detection (F32)
|
100% |
689
7.92 IPS |
|
|
Face Detection (F16)
|
100% |
690
7.93 IPS |
|
|
Face Detection (I8)
|
75% |
418
4.80 IPS |
|
|
Text Classification (F32)
|
100% |
751
296.9 IPS |
|
|
Text Classification (F16)
|
100% |
751
297.0 IPS |
|
|
Machine Translation (F32)
|
100% |
772
118.9 IPS |
|
|
Machine Translation (F16)
|
100% |
771
118.8 IPS |
