samsung SM-S901N
Geekbench ML Score
1295
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 28 2023 08:30 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-S901N |
| Model ID | samsung SM-S901N |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.06 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
604
64.7 IPS |
|
|
Image Classification (F16)
|
100% |
1517
162.6 IPS |
|
|
Image Classification (I8)
|
80% |
1301
139.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2451
15.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
4204
26.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
4014
24.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
1166
4.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
2204
8.92 IPS |
|
|
Pose Estimation (I8)
|
80% |
2187
8.85 IPS |
|
|
Object Detection (F32)
|
100% |
497
17.4 IPS |
|
|
Object Detection (F16)
|
99% |
601
21.1 IPS |
|
|
Object Detection (I8)
|
53% |
597
20.9 IPS |
|
|
Face Detection (F32)
|
100% |
1705
19.6 IPS |
|
|
Face Detection (F16)
|
97% |
3190
36.6 IPS |
|
|
Face Detection (I8)
|
75% |
2739
31.5 IPS |
|
|
Text Classification (F32)
|
100% |
454
179.7 IPS |
|
|
Text Classification (F16)
|
98% |
501
198.2 IPS |
|
|
Machine Translation (F32)
|
100% |
909
140.2 IPS |
|
|
Machine Translation (F16)
|
100% |
902
139.0 IPS |
