samsung SM-S921B
Geekbench ML Score
589
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Acux6 |
| Upload Date | November 29 2025 01:08 PM |
| Views | 11 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
619
66.3 IPS |
|
|
Image Classification (F16)
|
100% |
619
66.3 IPS |
|
|
Image Classification (I8)
|
81% |
213
22.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
837
5.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
835
5.15 IPS |
|
|
Image Segmentation (I8)
|
89% |
1003
6.20 IPS |
|
|
Pose Estimation (F32)
|
100% |
552
2.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
518
2.09 IPS |
|
|
Pose Estimation (I8)
|
80% |
377
1.53 IPS |
|
|
Object Detection (F32)
|
100% |
530
18.6 IPS |
|
|
Object Detection (F16)
|
100% |
537
18.9 IPS |
|
|
Object Detection (I8)
|
52% |
250
8.76 IPS |
|
|
Face Detection (F32)
|
100% |
1089
12.5 IPS |
|
|
Face Detection (F16)
|
100% |
1141
13.1 IPS |
|
|
Face Detection (I8)
|
75% |
605
6.96 IPS |
|
|
Text Classification (F32)
|
100% |
329
130.2 IPS |
|
|
Text Classification (F16)
|
100% |
220
87.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1349
207.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1339
206.3 IPS |
