Oculus Quest 3S
Geekbench AI Score
163
Single Precision Score
263
Half Precision Score
252
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | miningaway222 |
| Upload Date | February 28 2026 06:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
67
12.4 IPS |
|
|
Image Classification (HP)
|
100% |
89
16.5 IPS |
|
|
Image Classification (Q)
|
99% |
108
20.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
167
2.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
318
5.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
619
0.72 IPS |
|
|
Pose Estimation (HP)
|
92% |
933
1.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
888
1.04 IPS |
|
|
Object Detection (SP)
|
100% |
82
6.54 IPS |
|
|
Object Detection (HP)
|
97% |
125
9.98 IPS |
|
|
Object Detection (Q)
|
85% |
155
12.5 IPS |
|
|
Face Detection (SP)
|
100% |
279
3.32 IPS |
|
|
Face Detection (HP)
|
100% |
365
4.34 IPS |
|
|
Face Detection (Q)
|
97% |
400
4.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
256
1.97 IPS |
|
|
Depth Estimation (HP)
|
98% |
550
4.25 IPS |
|
|
Depth Estimation (Q)
|
64% |
461
4.26 IPS |
|
|
Style Transfer (SP)
|
89% |
1083
1.41 IPS |
|
|
Style Transfer (HP)
|
88% |
1682
2.18 IPS |
|
|
Style Transfer (Q)
|
98% |
1806
2.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
185
6.82 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
409
15.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
200
7.42 IPS |
|
|
Text Classification (SP)
|
100% |
31
41.1 IPS |
|
|
Text Classification (HP)
|
100% |
67
89.1 IPS |
|
|
Text Classification (Q)
|
93% |
81
109.4 IPS |
|
|
Machine Translation (SP)
|
100% |
53
0.92 IPS |
|
|
Machine Translation (HP)
|
96% |
59
1.03 IPS |
|
|
Machine Translation (Q)
|
55% |
42
1.11 IPS |
