Oculus Quest 3S
Geekbench AI Score
169
Single Precision Score
171
Half Precision Score
402
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | themc68 |
| Upload Date | August 17 2025 01:43 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Oculus Quest 3S |
| Model ID | Oculus Quest 3S |
| Motherboard | panther |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3403 revision 2 |
| Base Frequency | 2.05 GHz |
| Cluster 1 | 2 Cores @ 2.05 GHz |
| Cluster 2 | 4 Cores @ 2.36 GHz |
| Memory Information | |
|---|---|
| Size | 7.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
98
18.3 IPS |
|
|
Image Classification (HP)
|
100% |
98
18.2 IPS |
|
|
Image Classification (Q)
|
99% |
256
47.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
131
2.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
132
2.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
281
4.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
175
0.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
176
0.20 IPS |
|
|
Pose Estimation (Q)
|
98% |
691
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
97
7.73 IPS |
|
|
Object Detection (HP)
|
100% |
98
7.75 IPS |
|
|
Object Detection (Q)
|
87% |
286
22.9 IPS |
|
|
Face Detection (SP)
|
100% |
260
3.09 IPS |
|
|
Face Detection (HP)
|
100% |
261
3.10 IPS |
|
|
Face Detection (Q)
|
97% |
586
6.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
222
1.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
224
1.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
545
4.95 IPS |
|
|
Style Transfer (SP)
|
100% |
399
0.51 IPS |
|
|
Style Transfer (HP)
|
100% |
399
0.51 IPS |
|
|
Style Transfer (Q)
|
98% |
1086
1.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
110
4.07 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
111
4.10 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
386
14.3 IPS |
|
|
Text Classification (SP)
|
100% |
142
189.9 IPS |
|
|
Text Classification (HP)
|
100% |
141
187.6 IPS |
|
|
Text Classification (Q)
|
91% |
261
350.7 IPS |
|
|
Machine Translation (SP)
|
100% |
250
4.30 IPS |
|
|
Machine Translation (HP)
|
100% |
268
4.61 IPS |
|
|
Machine Translation (Q)
|
57% |
226
5.53 IPS |
