samsung SM-S918B
Geekbench ML Score
632
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 10 2024 03:07 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-S918B |
| Model ID | samsung SM-S918B |
| 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 | 10.77 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
565
60.5 IPS |
|
|
Image Classification (F16)
|
100% |
566
60.7 IPS |
|
|
Image Classification (I8)
|
81% |
501
53.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
848
5.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
843
5.21 IPS |
|
|
Image Segmentation (I8)
|
89% |
910
5.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
309
1.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
301
1.22 IPS |
|
|
Pose Estimation (I8)
|
80% |
153
0.62 IPS |
|
|
Object Detection (F32)
|
100% |
586
20.6 IPS |
|
|
Object Detection (F16)
|
100% |
589
20.7 IPS |
|
|
Object Detection (I8)
|
52% |
585
20.5 IPS |
|
|
Face Detection (F32)
|
100% |
796
9.14 IPS |
|
|
Face Detection (F16)
|
100% |
792
9.10 IPS |
|
|
Face Detection (I8)
|
75% |
666
7.66 IPS |
|
|
Text Classification (F32)
|
100% |
1115
440.8 IPS |
|
|
Text Classification (F16)
|
100% |
1067
421.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1078
166.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1026
158.1 IPS |
