Google rauru
Geekbench AI Score
469
Single Precision Score
413
Half Precision Score
1173
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 15 2025 11:15 AM |
| 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 | 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% |
412
76.5 IPS |
|
|
Image Classification (HP)
|
100% |
416
77.3 IPS |
|
|
Image Classification (Q)
|
99% |
286
53.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
538
8.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
539
8.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
1080
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
675
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
200
0.23 IPS |
|
|
Pose Estimation (Q)
|
98% |
2976
3.48 IPS |
|
|
Object Detection (SP)
|
100% |
405
32.1 IPS |
|
|
Object Detection (HP)
|
100% |
117
9.27 IPS |
|
|
Object Detection (Q)
|
87% |
1218
97.7 IPS |
|
|
Face Detection (SP)
|
100% |
312
3.71 IPS |
|
|
Face Detection (HP)
|
100% |
316
3.75 IPS |
|
|
Face Detection (Q)
|
97% |
625
7.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
259
2.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
851
6.56 IPS |
|
|
Depth Estimation (Q)
|
64% |
2051
18.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1260
1.62 IPS |
|
|
Style Transfer (HP)
|
100% |
1249
1.61 IPS |
|
|
Style Transfer (Q)
|
98% |
3177
4.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
135
4.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
134
4.96 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1727
64.0 IPS |
|
|
Text Classification (SP)
|
100% |
665
887.4 IPS |
|
|
Text Classification (HP)
|
100% |
670
893.7 IPS |
|
|
Text Classification (Q)
|
91% |
956
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (Q)
|
57% |
659
16.1 IPS |
