samsung SM-S918U
Geekbench ML Score
601
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 28 2023 05:00 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-S918U |
| Model ID | samsung SM-S918U |
| 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 | 10.80 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
588
63.0 IPS |
|
|
Image Classification (F16)
|
100% |
583
62.5 IPS |
|
|
Image Classification (I8)
|
81% |
233
24.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
917
5.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
938
5.80 IPS |
|
|
Image Segmentation (I8)
|
89% |
1083
6.69 IPS |
|
|
Pose Estimation (F32)
|
100% |
403
1.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
381
1.54 IPS |
|
|
Pose Estimation (I8)
|
80% |
292
1.18 IPS |
|
|
Object Detection (F32)
|
100% |
625
21.9 IPS |
|
|
Object Detection (F16)
|
100% |
629
22.1 IPS |
|
|
Object Detection (I8)
|
52% |
395
13.9 IPS |
|
|
Face Detection (F32)
|
100% |
1036
11.9 IPS |
|
|
Face Detection (F16)
|
100% |
998
11.5 IPS |
|
|
Face Detection (I8)
|
75% |
665
7.64 IPS |
|
|
Text Classification (F32)
|
100% |
397
157.2 IPS |
|
|
Text Classification (F16)
|
100% |
366
144.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1142
176.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1091
168.2 IPS |
