samsung SM-S926B
Geekbench ML Score
614
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 23 2024 06:39 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-S926B |
| Model ID | samsung SM-S926B |
| Motherboard | s5e9945 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 3 Cores @ 2.59 GHz |
| Cluster 3 | 2 Cores @ 2.90 GHz |
| Cluster 4 | 1 Core @ 3.21 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
602
64.5 IPS |
|
|
Image Classification (F16)
|
100% |
597
64.0 IPS |
|
|
Image Classification (I8)
|
81% |
230
24.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
855
5.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
849
5.24 IPS |
|
|
Image Segmentation (I8)
|
89% |
1031
6.37 IPS |
|
|
Pose Estimation (F32)
|
100% |
548
2.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
520
2.10 IPS |
|
|
Pose Estimation (I8)
|
80% |
382
1.55 IPS |
|
|
Object Detection (F32)
|
100% |
595
20.9 IPS |
|
|
Object Detection (F16)
|
100% |
598
21.0 IPS |
|
|
Object Detection (I8)
|
52% |
259
9.08 IPS |
|
|
Face Detection (F32)
|
100% |
1167
13.4 IPS |
|
|
Face Detection (F16)
|
100% |
1175
13.5 IPS |
|
|
Face Detection (I8)
|
75% |
639
7.34 IPS |
|
|
Text Classification (F32)
|
100% |
366
144.6 IPS |
|
|
Text Classification (F16)
|
100% |
274
108.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1327
204.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1333
205.4 IPS |
