Google rauru
Geekbench AI Score
2506
Single Precision Score
2476
Half Precision Score
3219
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 15 2025 10:52 AM |
| Views | 1 |
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% |
1793
333.4 IPS |
|
|
Image Classification (HP)
|
100% |
1682
312.9 IPS |
|
|
Image Classification (Q)
|
100% |
2743
510.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2167
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3118
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3695
4.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
3455
4.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
7185
8.52 IPS |
|
|
Object Detection (SP)
|
98% |
1841
146.5 IPS |
|
|
Object Detection (HP)
|
98% |
1775
141.2 IPS |
|
|
Object Detection (Q)
|
83% |
2676
216.1 IPS |
|
|
Face Detection (SP)
|
100% |
3431
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
3463
41.2 IPS |
|
|
Face Detection (Q)
|
95% |
5961
71.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3966
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3953
30.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
6018
55.1 IPS |
|
|
Style Transfer (SP)
|
89% |
8266
10.7 IPS |
|
|
Style Transfer (HP)
|
89% |
8195
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15554
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1939
71.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2046
75.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3952
146.4 IPS |
|
|
Text Classification (SP)
|
100% |
859
1.15 KIPS |
|
|
Text Classification (HP)
|
99% |
861
1.15 KIPS |
|
|
Text Classification (Q)
|
88% |
352
474.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1973
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1960
33.8 IPS |
|
|
Machine Translation (Q)
|
50% |
936
33.2 IPS |
