samsung SM-F731B
Geekbench ML Score
940
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | August 15 2024 04:26 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 6.99 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
525
98.2 IPS |
|
|
Image Classification (F16)
|
100% |
521
97.6 IPS |
|
|
Image Classification (I8)
|
97% |
867
162.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
580
9.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
573
9.56 IPS |
|
|
Image Segmentation (I8)
|
98% |
724
12.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
1179
1.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
1147
1.39 IPS |
|
|
Pose Estimation (I8)
|
100% |
4603
5.57 IPS |
|
|
Object Detection (F32)
|
100% |
537
40.1 IPS |
|
|
Object Detection (F16)
|
100% |
547
40.8 IPS |
|
|
Object Detection (I8)
|
61% |
1151
85.9 IPS |
|
|
Face Detection (F32)
|
100% |
1017
12.1 IPS |
|
|
Face Detection (F16)
|
100% |
1099
13.1 IPS |
|
|
Face Detection (I8)
|
86% |
1767
21.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1078
8.36 IPS |
|
|
Depth Estimation (F16)
|
100% |
1092
8.47 IPS |
|
|
Depth Estimation (I8)
|
95% |
1996
15.5 IPS |
|
|
Style Transfer (F32)
|
100% |
1933
2.54 IPS |
|
|
Style Transfer (F16)
|
100% |
1969
2.59 IPS |
|
|
Style Transfer (I8)
|
98% |
3603
4.74 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
643
23.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
645
23.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1715
61.2 IPS |
|
|
Text Classification (F32)
|
100% |
477
685.5 IPS |
|
|
Text Classification (F16)
|
100% |
490
703.5 IPS |
|
|
Text Classification (I8)
|
92% |
339
487.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1055
19.4 IPS |
|
|
Machine Translation (F16)
|
100% |
966
17.8 IPS |
|
|
Machine Translation (I8)
|
64% |
362
6.65 IPS |
