NINTENDO Switch
Geekbench ML Score
159
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 05 2023 04:00 AM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | NINTENDO Switch |
| Model ID | NINTENDO Switch |
| Motherboard | |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3335 revision 1 |
| Base Frequency | 2.09 GHz |
| Cluster 1 | 4 Cores @ 2.09 GHz |
| Memory Information | |
|---|---|
| Size | 3.40 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
232
24.9 IPS |
|
|
Image Classification (F16)
|
100% |
309
33.1 IPS |
|
|
Image Classification (I8)
|
81% |
295
31.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
139
0.86 IPS |
|
|
Image Segmentation (F16)
|
100% |
139
0.86 IPS |
|
|
Image Segmentation (I8)
|
89% |
596
3.68 IPS |
|
|
Pose Estimation (F32)
|
100% |
79
0.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
129
0.52 IPS |
|
|
Pose Estimation (I8)
|
80% |
129
0.52 IPS |
|
|
Object Detection (F32)
|
100% |
170
5.97 IPS |
|
|
Object Detection (F16)
|
100% |
223
7.82 IPS |
|
|
Object Detection (I8)
|
56% |
220
7.73 IPS |
|
|
Face Detection (F32)
|
100% |
123
1.41 IPS |
|
|
Face Detection (F16)
|
100% |
123
1.41 IPS |
|
|
Face Detection (I8)
|
75% |
510
5.86 IPS |
|
|
Text Classification (F32)
|
100% |
120
47.3 IPS |
|
|
Text Classification (F16)
|
100% |
119
47.0 IPS |
|
|
Machine Translation (F32)
|
100% |
50
7.74 IPS |
|
|
Machine Translation (F16)
|
100% |
51
7.80 IPS |
