samsung SM-S911B
Geekbench ML Score
581
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 29 2023 01:44 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 6.92 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
560
60.0 IPS |
|
|
Image Classification (F16)
|
100% |
544
58.3 IPS |
|
|
Image Classification (I8)
|
81% |
222
23.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
913
5.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
904
5.58 IPS |
|
|
Image Segmentation (I8)
|
89% |
1031
6.37 IPS |
|
|
Pose Estimation (F32)
|
100% |
353
1.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
345
1.40 IPS |
|
|
Pose Estimation (I8)
|
80% |
280
1.13 IPS |
|
|
Object Detection (F32)
|
100% |
589
20.7 IPS |
|
|
Object Detection (F16)
|
100% |
602
21.1 IPS |
|
|
Object Detection (I8)
|
52% |
450
15.8 IPS |
|
|
Face Detection (F32)
|
100% |
989
11.4 IPS |
|
|
Face Detection (F16)
|
100% |
973
11.2 IPS |
|
|
Face Detection (I8)
|
75% |
714
8.20 IPS |
|
|
Text Classification (F32)
|
100% |
374
148.1 IPS |
|
|
Text Classification (F16)
|
100% |
374
148.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1052
162.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1046
161.2 IPS |
