Google rauru
Geekbench AI Score
1331
Single Precision Score
1092
Half Precision Score
1054
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 26 2025 09:34 PM |
| Views | 2 |
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% |
1036
192.7 IPS |
|
|
Image Classification (HP)
|
100% |
761
141.6 IPS |
|
|
Image Classification (Q)
|
99% |
713
133.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1206
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1216
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
984
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
892
1.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
885
1.04 IPS |
|
|
Object Detection (SP)
|
100% |
831
65.9 IPS |
|
|
Object Detection (HP)
|
100% |
540
42.9 IPS |
|
|
Object Detection (Q)
|
86% |
539
43.4 IPS |
|
|
Face Detection (SP)
|
100% |
3040
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
2751
32.7 IPS |
|
|
Face Detection (Q)
|
97% |
2535
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1708
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1151
8.87 IPS |
|
|
Depth Estimation (Q)
|
62% |
917
8.78 IPS |
|
|
Style Transfer (SP)
|
100% |
4677
6.01 IPS |
|
|
Style Transfer (HP)
|
100% |
3635
4.67 IPS |
|
|
Style Transfer (Q)
|
98% |
3615
4.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1008
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
719
26.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
710
26.3 IPS |
|
|
Text Classification (SP)
|
100% |
677
903.7 IPS |
|
|
Text Classification (HP)
|
100% |
678
904.5 IPS |
|
|
Text Classification (Q)
|
91% |
977
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
962
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
979
16.9 IPS |
|
|
Machine Translation (Q)
|
57% |
702
17.2 IPS |
