Google rauru
Geekbench AI Score
1926
Single Precision Score
2209
Half Precision Score
2403
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 01 2025 03:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1791
333.2 IPS |
|
|
Image Classification (HP)
|
100% |
1830
340.4 IPS |
|
|
Image Classification (Q)
|
100% |
2700
502.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3087
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3665
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3563
4.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
7086
8.40 IPS |
|
|
Object Detection (SP)
|
98% |
1770
140.9 IPS |
|
|
Object Detection (HP)
|
98% |
1755
139.6 IPS |
|
|
Object Detection (Q)
|
83% |
615
49.7 IPS |
|
|
Face Detection (SP)
|
100% |
3445
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
3419
40.6 IPS |
|
|
Face Detection (Q)
|
95% |
5945
71.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3887
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3903
30.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5977
54.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2274
2.95 IPS |
|
|
Style Transfer (HP)
|
89% |
6097
7.92 IPS |
|
|
Style Transfer (Q)
|
98% |
3586
4.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
536
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1432
52.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4057
150.3 IPS |
|
|
Text Classification (SP)
|
100% |
867
1.16 KIPS |
|
|
Text Classification (HP)
|
99% |
817
1.09 KIPS |
|
|
Text Classification (Q)
|
88% |
364
490.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2016
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1209
20.8 IPS |
|
|
Machine Translation (Q)
|
50% |
941
33.4 IPS |
