Nintendo Switch
Geekbench AI Score
203
Single Precision Score
268
Half Precision Score
255
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | dangeredwolf |
| Upload Date | April 12 2025 12:33 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 3.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
157
29.2 IPS |
|
|
Image Classification (HP)
|
100% |
193
35.9 IPS |
|
|
Image Classification (Q)
|
99% |
189
35.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
231
3.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
290
4.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
281
4.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
275
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
451
0.53 IPS |
|
|
Pose Estimation (Q)
|
95% |
447
0.52 IPS |
|
|
Object Detection (SP)
|
100% |
127
10.0 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (Q)
|
88% |
170
13.7 IPS |
|
|
Face Detection (SP)
|
100% |
441
5.24 IPS |
|
|
Face Detection (HP)
|
100% |
548
6.51 IPS |
|
|
Face Detection (Q)
|
96% |
525
6.27 IPS |
|
|
Depth Estimation (SP)
|
100% |
384
2.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
554
4.28 IPS |
|
|
Depth Estimation (Q)
|
64% |
473
4.30 IPS |
|
|
Style Transfer (SP)
|
100% |
861
1.11 IPS |
|
|
Style Transfer (HP)
|
100% |
1345
1.73 IPS |
|
|
Style Transfer (Q)
|
98% |
1336
1.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
173
6.38 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
273
10.1 IPS |
|
|
Text Classification (SP)
|
100% |
47
62.8 IPS |
|
|
Text Classification (HP)
|
100% |
46
60.8 IPS |
|
|
Text Classification (Q)
|
91% |
59
79.9 IPS |
|
|
Machine Translation (SP)
|
100% |
80
1.38 IPS |
|
|
Machine Translation (HP)
|
100% |
82
1.42 IPS |
|
|
Machine Translation (Q)
|
57% |
55
1.35 IPS |
