samsung SM-S921B
Geekbench ML Score
277
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Acux6 |
| Upload Date | November 29 2025 01:32 PM |
| Views | 14 |
System Information
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S921B |
| Model ID | samsung SM-S921B |
| 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 | 7.06 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
498
53.3 IPS |
|
|
Image Classification (F16)
|
100% |
475
50.8 IPS |
|
|
Image Classification (I8)
|
81% |
504
54.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
738
4.56 IPS |
|
|
Image Segmentation (F16)
|
100% |
668
4.13 IPS |
|
|
Image Segmentation (I8)
|
89% |
1859
11.5 IPS |
|
|
Pose Estimation (F32)
|
0
|
||
|
Pose Estimation (F16)
|
0
|
||
|
Pose Estimation (I8)
|
0
|
||
|
Object Detection (F32)
|
0% |
654
22.9 IPS |
|
|
Object Detection (F16)
|
0% |
747
26.2 IPS |
|
|
Object Detection (I8)
|
52% |
571
20.0 IPS |
|
|
Face Detection (F32)
|
100% |
621
7.13 IPS |
|
|
Face Detection (F16)
|
100% |
601
6.90 IPS |
|
|
Face Detection (I8)
|
75% |
733
8.42 IPS |
|
|
Text Classification (F32)
|
100% |
1341
530.6 IPS |
|
|
Text Classification (F16)
|
100% |
1326
524.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1320
203.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1352
208.3 IPS |
