samsung SM-S901N
Geekbench ML Score
2544
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 28 2023 08:28 AM |
| Views | 1 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
569
60.9 IPS |
|
|
Image Classification (F16)
|
100% |
8012
858.4 IPS |
|
|
Image Classification (I8)
|
80% |
18534
1.99 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1382
8.54 IPS |
|
|
Image Segmentation (F16)
|
100% |
7261
44.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
33625
207.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
554
2.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
9796
39.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
54704
221.4 IPS |
|
|
Object Detection (F32)
|
100% |
743
26.1 IPS |
|
|
Object Detection (F16)
|
100% |
1711
60.1 IPS |
|
|
Object Detection (I8)
|
53% |
1853
65.0 IPS |
|
|
Face Detection (F32)
|
100% |
1480
17.0 IPS |
|
|
Face Detection (F16)
|
97% |
6774
77.8 IPS |
|
|
Face Detection (I8)
|
76% |
46738
537.0 IPS |
|
|
Text Classification (F32)
|
100% |
13
5.18 IPS |
|
|
Text Classification (F16)
|
100% |
569
225.0 IPS |
|
|
Machine Translation (F32)
|
100% |
845
130.2 IPS |
|
|
Machine Translation (F16)
|
100% |
868
133.8 IPS |
