samsung SM-F731B
Geekbench ML Score
574
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 13 2023 08:19 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-F731B |
| Model ID | samsung SM-F731B |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 7.01 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
587
62.8 IPS |
|
|
Image Classification (F16)
|
100% |
588
63.0 IPS |
|
|
Image Classification (I8)
|
81% |
219
23.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
917
5.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
910
5.62 IPS |
|
|
Image Segmentation (I8)
|
89% |
1021
6.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
378
1.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
364
1.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
291
1.18 IPS |
|
|
Object Detection (F32)
|
100% |
599
21.0 IPS |
|
|
Object Detection (F16)
|
100% |
610
21.4 IPS |
|
|
Object Detection (I8)
|
52% |
363
12.7 IPS |
|
|
Face Detection (F32)
|
100% |
1019
11.7 IPS |
|
|
Face Detection (F16)
|
100% |
1009
11.6 IPS |
|
|
Face Detection (I8)
|
75% |
656
7.53 IPS |
|
|
Text Classification (F32)
|
100% |
357
141.3 IPS |
|
|
Text Classification (F16)
|
100% |
349
138.2 IPS |
|
|
Machine Translation (F32)
|
100% |
947
145.9 IPS |
|
|
Machine Translation (F16)
|
100% |
989
152.4 IPS |
