Google rauru
Geekbench AI Score
681
Single Precision Score
683
Half Precision Score
1402
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 26 2025 09:47 PM |
| Views | 3 |
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 | 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% |
419
77.9 IPS |
|
|
Image Classification (HP)
|
100% |
429
79.9 IPS |
|
|
Image Classification (Q)
|
99% |
1168
217.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
546
8.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
557
9.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
1116
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
698
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
689
0.80 IPS |
|
|
Pose Estimation (Q)
|
98% |
2984
3.49 IPS |
|
|
Object Detection (SP)
|
100% |
412
32.7 IPS |
|
|
Object Detection (HP)
|
100% |
422
33.4 IPS |
|
|
Object Detection (Q)
|
87% |
1235
99.1 IPS |
|
|
Face Detection (SP)
|
100% |
963
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
982
11.7 IPS |
|
|
Face Detection (Q)
|
97% |
2327
27.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
836
6.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
845
6.51 IPS |
|
|
Depth Estimation (Q)
|
64% |
2134
19.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1285
1.65 IPS |
|
|
Style Transfer (HP)
|
100% |
1275
1.64 IPS |
|
|
Style Transfer (Q)
|
98% |
1057
1.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
489
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
473
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1784
66.1 IPS |
|
|
Text Classification (SP)
|
100% |
667
890.1 IPS |
|
|
Text Classification (HP)
|
100% |
674
899.1 IPS |
|
|
Text Classification (Q)
|
91% |
961
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
968
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
955
16.4 IPS |
|
|
Machine Translation (Q)
|
57% |
682
16.7 IPS |
