samsung SM-S918N
Geekbench ML Score
621
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 09 2023 07:40 AM |
| Views | 51 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-S918N |
| Model ID | samsung SM-S918N |
| 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% |
590
63.2 IPS |
|
|
Image Classification (F16)
|
100% |
623
66.7 IPS |
|
|
Image Classification (I8)
|
81% |
226
24.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1011
6.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
983
6.07 IPS |
|
|
Image Segmentation (I8)
|
89% |
1086
6.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
397
1.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
384
1.55 IPS |
|
|
Pose Estimation (I8)
|
80% |
304
1.23 IPS |
|
|
Object Detection (F32)
|
100% |
650
22.8 IPS |
|
|
Object Detection (F16)
|
100% |
646
22.7 IPS |
|
|
Object Detection (I8)
|
52% |
443
15.5 IPS |
|
|
Face Detection (F32)
|
100% |
1083
12.4 IPS |
|
|
Face Detection (F16)
|
100% |
1066
12.3 IPS |
|
|
Face Detection (I8)
|
75% |
682
7.84 IPS |
|
|
Text Classification (F32)
|
100% |
408
161.4 IPS |
|
|
Text Classification (F16)
|
100% |
375
148.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1137
175.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1107
170.6 IPS |
