Google rauru
Geekbench AI Score
682
Single Precision Score
685
Half Precision Score
1574
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 18 2025 09:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google rauru |
| Model ID | Google rauru |
| Motherboard | hylia |
| 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% |
432
80.4 IPS |
|
|
Image Classification (HP)
|
100% |
439
81.7 IPS |
|
|
Image Classification (Q)
|
99% |
1181
220.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
565
9.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
569
9.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
1144
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
700
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
689
0.80 IPS |
|
|
Pose Estimation (Q)
|
98% |
2943
3.45 IPS |
|
|
Object Detection (SP)
|
100% |
408
32.3 IPS |
|
|
Object Detection (HP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (Q)
|
87% |
1211
97.2 IPS |
|
|
Face Detection (SP)
|
100% |
973
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
980
11.6 IPS |
|
|
Face Detection (Q)
|
97% |
2349
28.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
839
6.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
844
6.50 IPS |
|
|
Depth Estimation (Q)
|
64% |
2098
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1253
1.61 IPS |
|
|
Style Transfer (HP)
|
100% |
1265
1.63 IPS |
|
|
Style Transfer (Q)
|
98% |
3327
4.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
491
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
490
18.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1810
67.1 IPS |
|
|
Text Classification (SP)
|
100% |
675
901.4 IPS |
|
|
Text Classification (HP)
|
100% |
684
912.7 IPS |
|
|
Text Classification (Q)
|
91% |
969
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
929
16.0 IPS |
|
|
Machine Translation (Q)
|
57% |
678
16.6 IPS |
