Nintendo Switch
Geekbench AI Score
241
Single Precision Score
323
Half Precision Score
310
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | TheDogDR |
| Upload Date | February 21 2026 06:41 PM |
| Views | 5 |
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% |
207
38.4 IPS |
|
|
Image Classification (HP)
|
100% |
289
53.7 IPS |
|
|
Image Classification (Q)
|
99% |
282
52.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
284
4.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
365
5.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
360
5.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
329
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
539
0.63 IPS |
|
|
Pose Estimation (Q)
|
95% |
535
0.63 IPS |
|
|
Object Detection (SP)
|
100% |
148
11.8 IPS |
|
|
Object Detection (HP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (Q)
|
88% |
223
17.9 IPS |
|
|
Face Detection (SP)
|
100% |
555
6.59 IPS |
|
|
Face Detection (HP)
|
100% |
709
8.42 IPS |
|
|
Face Detection (Q)
|
96% |
588
7.01 IPS |
|
|
Depth Estimation (SP)
|
100% |
457
3.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
672
5.19 IPS |
|
|
Depth Estimation (Q)
|
64% |
557
5.06 IPS |
|
|
Style Transfer (SP)
|
100% |
1019
1.31 IPS |
|
|
Style Transfer (HP)
|
100% |
1621
2.08 IPS |
|
|
Style Transfer (Q)
|
98% |
1589
2.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
209
7.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
315
11.7 IPS |
|
|
Text Classification (SP)
|
100% |
51
68.2 IPS |
|
|
Text Classification (HP)
|
100% |
51
68.2 IPS |
|
|
Text Classification (Q)
|
91% |
68
91.6 IPS |
|
|
Machine Translation (SP)
|
100% |
87
1.50 IPS |
|
|
Machine Translation (HP)
|
100% |
91
1.57 IPS |
|
|
Machine Translation (Q)
|
57% |
62
1.51 IPS |
