Google rauru
Geekbench AI Score
1326
Single Precision Score
1084
Half Precision Score
1051
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 26 2025 09:26 PM |
| Views | 3 |
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% |
1022
190.1 IPS |
|
|
Image Classification (HP)
|
100% |
763
141.9 IPS |
|
|
Image Classification (Q)
|
99% |
720
134.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1286
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1247
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
997
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
893
1.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
885
1.04 IPS |
|
|
Object Detection (SP)
|
100% |
809
64.2 IPS |
|
|
Object Detection (HP)
|
100% |
550
43.6 IPS |
|
|
Object Detection (Q)
|
86% |
540
43.4 IPS |
|
|
Face Detection (SP)
|
100% |
3061
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
2749
32.7 IPS |
|
|
Face Detection (Q)
|
97% |
2533
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1727
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1142
8.80 IPS |
|
|
Depth Estimation (Q)
|
62% |
913
8.74 IPS |
|
|
Style Transfer (SP)
|
100% |
4704
6.05 IPS |
|
|
Style Transfer (HP)
|
100% |
3630
4.67 IPS |
|
|
Style Transfer (Q)
|
98% |
3629
4.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1012
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
716
26.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
706
26.2 IPS |
|
|
Text Classification (SP)
|
100% |
661
882.1 IPS |
|
|
Text Classification (HP)
|
100% |
660
881.2 IPS |
|
|
Text Classification (Q)
|
91% |
940
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
946
16.3 IPS |
|
|
Machine Translation (Q)
|
57% |
693
16.9 IPS |
