samsung SM-S911B
Geekbench ML Score
586
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 03 2023 05:22 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-S911B |
| Model ID | samsung SM-S911B |
| 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 | 6.89 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
602
64.5 IPS |
|
|
Image Classification (F16)
|
100% |
598
64.0 IPS |
|
|
Image Classification (I8)
|
81% |
218
23.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
964
5.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
947
5.85 IPS |
|
|
Image Segmentation (I8)
|
89% |
1078
6.66 IPS |
|
|
Pose Estimation (F32)
|
100% |
400
1.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
382
1.55 IPS |
|
|
Pose Estimation (I8)
|
80% |
302
1.22 IPS |
|
|
Object Detection (F32)
|
100% |
617
21.7 IPS |
|
|
Object Detection (F16)
|
100% |
597
21.0 IPS |
|
|
Object Detection (I8)
|
52% |
444
15.6 IPS |
|
|
Face Detection (F32)
|
100% |
981
11.3 IPS |
|
|
Face Detection (F16)
|
100% |
981
11.3 IPS |
|
|
Face Detection (I8)
|
75% |
688
7.90 IPS |
|
|
Text Classification (F32)
|
100% |
338
133.8 IPS |
|
|
Text Classification (F16)
|
100% |
338
133.7 IPS |
|
|
Machine Translation (F32)
|
100% |
944
145.5 IPS |
|
|
Machine Translation (F16)
|
100% |
956
147.3 IPS |
