samsung SM-S928U1
Geekbench ML Score
697
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 19 2024 07:29 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-S928U1 |
| Model ID | samsung SM-S928U1 |
| 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% |
689
73.8 IPS |
|
|
Image Classification (F16)
|
100% |
670
71.8 IPS |
|
|
Image Classification (I8)
|
81% |
212
22.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1110
6.85 IPS |
|
|
Image Segmentation (F16)
|
100% |
1143
7.06 IPS |
|
|
Image Segmentation (I8)
|
89% |
1167
7.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
580
2.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
551
2.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
341
1.38 IPS |
|
|
Object Detection (F32)
|
100% |
675
23.7 IPS |
|
|
Object Detection (F16)
|
100% |
696
24.4 IPS |
|
|
Object Detection (I8)
|
52% |
366
12.8 IPS |
|
|
Face Detection (F32)
|
100% |
1388
15.9 IPS |
|
|
Face Detection (F16)
|
100% |
1372
15.8 IPS |
|
|
Face Detection (I8)
|
75% |
651
7.48 IPS |
|
|
Text Classification (F32)
|
100% |
397
157.0 IPS |
|
|
Text Classification (F16)
|
100% |
405
160.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1404
216.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1396
215.2 IPS |
