samsung SM-S921B
Geekbench ML Score
2378
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Acux6 |
| Upload Date | November 29 2025 01:26 PM |
| Views | 8 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1336
143.1 IPS |
|
|
Image Classification (F16)
|
100% |
2666
285.7 IPS |
|
|
Image Classification (I8)
|
81% |
2324
249.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
3529
21.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
8238
50.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
6327
39.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
2116
8.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
4620
18.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
4603
18.6 IPS |
|
|
Object Detection (F32)
|
100% |
928
32.6 IPS |
|
|
Object Detection (F16)
|
100% |
1210
42.5 IPS |
|
|
Object Detection (I8)
|
52% |
1243
43.6 IPS |
|
|
Face Detection (F32)
|
100% |
2666
30.6 IPS |
|
|
Face Detection (F16)
|
97% |
4549
52.3 IPS |
|
|
Face Detection (I8)
|
76% |
4154
47.7 IPS |
|
|
Text Classification (F32)
|
100% |
1077
426.1 IPS |
|
|
Text Classification (F16)
|
98% |
1482
586.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1359
209.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1354
208.7 IPS |
