Oculus Quest 3
Geekbench AI Score
537
Single Precision Score
771
Half Precision Score
771
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | laidbackdev |
| Upload Date | May 02 2025 11:31 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Oculus Quest 3 |
| Model ID | Oculus Quest 3 |
| Motherboard | eureka |
| 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% |
397
73.9 IPS |
|
|
Image Classification (HP)
|
100% |
645
120.0 IPS |
|
|
Image Classification (Q)
|
96% |
630
117.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
670
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1348
21.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1287
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
606
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
994
1.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
990
1.16 IPS |
|
|
Object Detection (SP)
|
100% |
326
25.8 IPS |
|
|
Object Detection (HP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (Q)
|
87% |
516
41.5 IPS |
|
|
Face Detection (SP)
|
100% |
1376
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
2329
27.7 IPS |
|
|
Face Detection (Q)
|
97% |
2155
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
945
7.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
1647
12.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1351
12.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2473
3.18 IPS |
|
|
Style Transfer (HP)
|
100% |
4383
5.63 IPS |
|
|
Style Transfer (Q)
|
98% |
4334
5.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
304
11.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
260
9.62 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
258
9.57 IPS |
|
|
Text Classification (SP)
|
100% |
148
197.4 IPS |
|
|
Text Classification (HP)
|
100% |
149
198.3 IPS |
|
|
Text Classification (Q)
|
91% |
271
363.7 IPS |
|
|
Machine Translation (SP)
|
100% |
264
4.54 IPS |
|
|
Machine Translation (HP)
|
100% |
263
4.53 IPS |
|
|
Machine Translation (Q)
|
57% |
204
4.98 IPS |
