samsung SM-S911B
Geekbench ML Score
586
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 12 2023 04:20 PM |
| Views | 3 |
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% |
577
61.8 IPS |
|
|
Image Classification (F16)
|
100% |
575
61.6 IPS |
|
|
Image Classification (I8)
|
81% |
209
22.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
926
5.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
931
5.75 IPS |
|
|
Image Segmentation (I8)
|
89% |
1024
6.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
406
1.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
383
1.55 IPS |
|
|
Pose Estimation (I8)
|
80% |
285
1.15 IPS |
|
|
Object Detection (F32)
|
100% |
596
20.9 IPS |
|
|
Object Detection (F16)
|
100% |
591
20.7 IPS |
|
|
Object Detection (I8)
|
52% |
446
15.7 IPS |
|
|
Face Detection (F32)
|
100% |
995
11.4 IPS |
|
|
Face Detection (F16)
|
100% |
986
11.3 IPS |
|
|
Face Detection (I8)
|
75% |
707
8.13 IPS |
|
|
Text Classification (F32)
|
100% |
354
140.1 IPS |
|
|
Text Classification (F16)
|
100% |
350
138.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1045
161.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1050
161.8 IPS |
