samsung SM-S918B
Geekbench ML Score
537
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 13 2023 08:28 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 6.92 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
570
61.1 IPS |
|
|
Image Classification (F16)
|
100% |
453
48.5 IPS |
|
|
Image Classification (I8)
|
81% |
269
28.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
813
5.02 IPS |
|
|
Image Segmentation (F16)
|
100% |
812
5.02 IPS |
|
|
Image Segmentation (I8)
|
89% |
890
5.50 IPS |
|
|
Pose Estimation (F32)
|
100% |
388
1.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
386
1.56 IPS |
|
|
Pose Estimation (I8)
|
80% |
249
1.01 IPS |
|
|
Object Detection (F32)
|
100% |
523
18.3 IPS |
|
|
Object Detection (F16)
|
100% |
517
18.1 IPS |
|
|
Object Detection (I8)
|
52% |
409
14.4 IPS |
|
|
Face Detection (F32)
|
100% |
874
10.0 IPS |
|
|
Face Detection (F16)
|
100% |
870
10.00 IPS |
|
|
Face Detection (I8)
|
75% |
648
7.45 IPS |
|
|
Text Classification (F32)
|
100% |
305
120.6 IPS |
|
|
Text Classification (F16)
|
100% |
314
124.2 IPS |
|
|
Machine Translation (F32)
|
100% |
970
149.5 IPS |
|
|
Machine Translation (F16)
|
100% |
971
149.6 IPS |
