samsung SM-S928B
Geekbench ML Score
689
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | July 10 2024 08:36 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-S928B |
| Model ID | samsung SM-S928B |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.81 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
669
71.7 IPS |
|
|
Image Classification (F16)
|
100% |
655
70.1 IPS |
|
|
Image Classification (I8)
|
81% |
211
22.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1105
6.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
1107
6.84 IPS |
|
|
Image Segmentation (I8)
|
89% |
1148
7.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
538
2.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
515
2.08 IPS |
|
|
Pose Estimation (I8)
|
80% |
341
1.38 IPS |
|
|
Object Detection (F32)
|
100% |
682
24.0 IPS |
|
|
Object Detection (F16)
|
100% |
704
24.7 IPS |
|
|
Object Detection (I8)
|
52% |
365
12.8 IPS |
|
|
Face Detection (F32)
|
100% |
1330
15.3 IPS |
|
|
Face Detection (F16)
|
100% |
1318
15.1 IPS |
|
|
Face Detection (I8)
|
75% |
663
7.62 IPS |
|
|
Text Classification (F32)
|
100% |
421
166.6 IPS |
|
|
Text Classification (F16)
|
100% |
449
177.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1331
205.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1364
210.1 IPS |
