Samsung Galaxy S21+ 5G
Geekbench ML Score
1293
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 23 2022 06:03 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy S21+ 5G |
| Model ID | samsung SM-G996B |
| Motherboard | exynos2100 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 4 Cores @ 2.21 GHz |
| Cluster 2 | 3 Cores @ 2.81 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.03 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1149
123.1 IPS |
|
|
Image Classification (F16)
|
100% |
2280
244.3 IPS |
|
|
Image Classification (I8)
|
80% |
2168
232.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2424
15.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
4265
26.3 IPS |
|
|
Image Segmentation (I8)
|
89% |
4349
26.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
618
2.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
2122
8.59 IPS |
|
|
Pose Estimation (I8)
|
80% |
1981
8.02 IPS |
|
|
Object Detection (F32)
|
100% |
463
16.2 IPS |
|
|
Object Detection (F16)
|
100% |
626
22.0 IPS |
|
|
Object Detection (I8)
|
54% |
647
22.7 IPS |
|
|
Face Detection (F32)
|
100% |
1367
15.7 IPS |
|
|
Face Detection (F16)
|
97% |
2715
31.2 IPS |
|
|
Face Detection (I8)
|
75% |
2365
27.2 IPS |
|
|
Text Classification (F32)
|
100% |
696
275.4 IPS |
|
|
Text Classification (F16)
|
98% |
1018
402.8 IPS |
|
|
Machine Translation (F32)
|
100% |
410
63.2 IPS |
|
|
Machine Translation (F16)
|
100% |
419
64.5 IPS |
