samsung SM-S918U1
Geekbench ML Score
534
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Wsuone |
| Upload Date | February 03 2025 08:34 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-S918U1 |
| Model ID | samsung SM-S918U1 |
| 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% |
584
62.6 IPS |
|
|
Image Classification (F16)
|
100% |
574
61.5 IPS |
|
|
Image Classification (I8)
|
81% |
223
23.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
849
5.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
849
5.24 IPS |
|
|
Image Segmentation (I8)
|
89% |
1017
6.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
406
1.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
381
1.54 IPS |
|
|
Pose Estimation (I8)
|
80% |
250
1.01 IPS |
|
|
Object Detection (F32)
|
100% |
516
18.1 IPS |
|
|
Object Detection (F16)
|
100% |
474
16.6 IPS |
|
|
Object Detection (I8)
|
52% |
392
13.7 IPS |
|
|
Face Detection (F32)
|
100% |
832
9.55 IPS |
|
|
Face Detection (F16)
|
100% |
835
9.59 IPS |
|
|
Face Detection (I8)
|
75% |
642
7.38 IPS |
|
|
Text Classification (F32)
|
100% |
329
130.1 IPS |
|
|
Text Classification (F16)
|
100% |
294
116.3 IPS |
|
|
Machine Translation (F32)
|
100% |
871
134.2 IPS |
|
|
Machine Translation (F16)
|
100% |
875
134.9 IPS |
