samsung SM-S918B
Geekbench ML Score
595
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 28 2025 08:44 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.79 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
579
62.0 IPS |
|
|
Image Classification (F16)
|
100% |
582
62.3 IPS |
|
|
Image Classification (I8)
|
81% |
218
23.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
916
5.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
924
5.71 IPS |
|
|
Image Segmentation (I8)
|
89% |
1111
6.86 IPS |
|
|
Pose Estimation (F32)
|
100% |
406
1.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
388
1.57 IPS |
|
|
Pose Estimation (I8)
|
80% |
297
1.20 IPS |
|
|
Object Detection (F32)
|
100% |
630
22.1 IPS |
|
|
Object Detection (F16)
|
100% |
636
22.3 IPS |
|
|
Object Detection (I8)
|
52% |
380
13.3 IPS |
|
|
Face Detection (F32)
|
100% |
1015
11.7 IPS |
|
|
Face Detection (F16)
|
100% |
1008
11.6 IPS |
|
|
Face Detection (I8)
|
75% |
661
7.59 IPS |
|
|
Text Classification (F32)
|
100% |
367
145.0 IPS |
|
|
Text Classification (F16)
|
100% |
394
156.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1076
165.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1033
159.1 IPS |
