Google rauru
Geekbench AI Score
1095
Single Precision Score
884
Half Precision Score
922
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 05:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google rauru |
| Model ID | Google rauru |
| Motherboard | navi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.63 GHz |
| Memory Information | |
|---|---|
| Size | 14.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
950
176.7 IPS |
|
|
Image Classification (HP)
|
100% |
686
127.6 IPS |
|
|
Image Classification (Q)
|
99% |
723
134.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1240
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1186
19.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1149
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
935
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
754
0.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
772
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
779
61.8 IPS |
|
|
Object Detection (HP)
|
100% |
529
42.0 IPS |
|
|
Object Detection (Q)
|
86% |
517
41.5 IPS |
|
|
Face Detection (SP)
|
100% |
2865
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
2648
31.5 IPS |
|
|
Face Detection (Q)
|
97% |
2409
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1651
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1072
8.26 IPS |
|
|
Depth Estimation (Q)
|
62% |
839
8.04 IPS |
|
|
Style Transfer (SP)
|
100% |
4589
5.90 IPS |
|
|
Style Transfer (HP)
|
100% |
3377
4.34 IPS |
|
|
Style Transfer (Q)
|
98% |
3626
4.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1019
37.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
734
27.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
700
25.9 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.2 IPS |
|
|
Text Classification (HP)
|
100% |
285
380.7 IPS |
|
|
Text Classification (Q)
|
91% |
542
728.3 IPS |
|
|
Machine Translation (SP)
|
100% |
459
7.91 IPS |
|
|
Machine Translation (HP)
|
100% |
452
7.79 IPS |
|
|
Machine Translation (Q)
|
57% |
485
11.9 IPS |
