Oculus Quest 3S
Geekbench AI Score
292
Single Precision Score
292
Half Precision Score
453
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | themc68 |
| Upload Date | August 17 2025 01:04 PM |
| Views | 11 |
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% |
127
23.7 IPS |
|
|
Image Classification (HP)
|
100% |
142
26.5 IPS |
|
|
Image Classification (Q)
|
100% |
205
38.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
225
3.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
470
7.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
957
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
986
1.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
1679
1.99 IPS |
|
|
Object Detection (SP)
|
100% |
131
10.4 IPS |
|
|
Object Detection (HP)
|
100% |
121
9.61 IPS |
|
|
Object Detection (Q)
|
83% |
244
19.7 IPS |
|
|
Face Detection (SP)
|
100% |
399
4.74 IPS |
|
|
Face Detection (HP)
|
100% |
404
4.80 IPS |
|
|
Face Detection (Q)
|
95% |
797
9.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
461
3.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
491
3.78 IPS |
|
|
Depth Estimation (Q)
|
64% |
754
6.90 IPS |
|
|
Style Transfer (SP)
|
89% |
2041
2.65 IPS |
|
|
Style Transfer (HP)
|
89% |
2006
2.60 IPS |
|
|
Style Transfer (Q)
|
98% |
3813
4.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
268
9.91 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
264
9.76 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
494
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
71
95.2 IPS |
|
|
Text Classification (HP)
|
100% |
70
93.8 IPS |
|
|
Text Classification (Q)
|
88% |
105
142.1 IPS |
|
|
Machine Translation (SP)
|
100% |
177
3.04 IPS |
|
|
Machine Translation (HP)
|
100% |
164
2.83 IPS |
|
|
Machine Translation (Q)
|
50% |
79
2.82 IPS |
