samsung SM-S921B
Geekbench ML Score
441
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | acuesta |
| Upload Date | March 13 2025 05:06 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
594
63.6 IPS |
|
|
Image Classification (F16)
|
100% |
609
65.2 IPS |
|
|
Image Classification (I8)
|
81% |
199
21.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
749
4.63 IPS |
|
|
Image Segmentation (F16)
|
100% |
694
4.29 IPS |
|
|
Image Segmentation (I8)
|
89% |
869
5.37 IPS |
|
|
Pose Estimation (F32)
|
100% |
373
1.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
370
1.50 IPS |
|
|
Pose Estimation (I8)
|
80% |
242
0.98 IPS |
|
|
Object Detection (F32)
|
100% |
329
11.5 IPS |
|
|
Object Detection (F16)
|
100% |
339
11.9 IPS |
|
|
Object Detection (I8)
|
52% |
234
8.20 IPS |
|
|
Face Detection (F32)
|
100% |
653
7.51 IPS |
|
|
Face Detection (F16)
|
100% |
653
7.50 IPS |
|
|
Face Detection (I8)
|
75% |
448
5.15 IPS |
|
|
Text Classification (F32)
|
100% |
292
115.7 IPS |
|
|
Text Classification (F16)
|
100% |
230
91.1 IPS |
|
|
Machine Translation (F32)
|
100% |
696
107.2 IPS |
|
|
Machine Translation (F16)
|
100% |
697
107.4 IPS |
