Nintendo Switch
Geekbench AI Score
209
Single Precision Score
284
Half Precision Score
270
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | TheDogDR |
| Upload Date | January 31 2025 08:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
260
48.4 IPS |
|
|
Image Classification (Q)
|
99% |
191
35.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
210
3.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
276
4.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
293
4.76 IPS |
|
|
Pose Estimation (SP)
|
100% |
325
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
531
0.62 IPS |
|
|
Pose Estimation (Q)
|
95% |
525
0.62 IPS |
|
|
Object Detection (SP)
|
100% |
133
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
183
14.5 IPS |
|
|
Object Detection (Q)
|
88% |
175
14.0 IPS |
|
|
Face Detection (SP)
|
100% |
453
5.38 IPS |
|
|
Face Detection (HP)
|
100% |
557
6.62 IPS |
|
|
Face Detection (Q)
|
96% |
514
6.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
427
3.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
596
4.61 IPS |
|
|
Depth Estimation (Q)
|
64% |
509
4.63 IPS |
|
|
Style Transfer (SP)
|
100% |
949
1.22 IPS |
|
|
Style Transfer (HP)
|
100% |
1500
1.93 IPS |
|
|
Style Transfer (Q)
|
98% |
1489
1.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
186
6.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
286
10.6 IPS |
|
|
Text Classification (SP)
|
100% |
45
59.6 IPS |
|
|
Text Classification (HP)
|
100% |
45
59.8 IPS |
|
|
Text Classification (Q)
|
91% |
65
86.9 IPS |
|
|
Machine Translation (SP)
|
100% |
75
1.28 IPS |
|
|
Machine Translation (HP)
|
100% |
77
1.33 IPS |
|
|
Machine Translation (Q)
|
57% |
57
1.40 IPS |
