Google rauru
Geekbench AI Score
679
Single Precision Score
546
Half Precision Score
1578
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 26 2025 10:01 PM |
| Views | 1 |
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% |
420
78.2 IPS |
|
|
Image Classification (HP)
|
100% |
430
80.0 IPS |
|
|
Image Classification (Q)
|
99% |
1166
217.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
546
8.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
552
8.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
1119
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
696
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
688
0.80 IPS |
|
|
Pose Estimation (Q)
|
98% |
2972
3.48 IPS |
|
|
Object Detection (SP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (HP)
|
100% |
417
33.1 IPS |
|
|
Object Detection (Q)
|
87% |
1219
97.8 IPS |
|
|
Face Detection (SP)
|
100% |
959
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
315
3.74 IPS |
|
|
Face Detection (Q)
|
97% |
2357
28.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
839
6.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
844
6.50 IPS |
|
|
Depth Estimation (Q)
|
64% |
2129
19.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1280
1.65 IPS |
|
|
Style Transfer (HP)
|
100% |
423
0.54 IPS |
|
|
Style Transfer (Q)
|
98% |
3359
4.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
480
17.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
473
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1776
65.8 IPS |
|
|
Text Classification (SP)
|
100% |
667
890.5 IPS |
|
|
Text Classification (HP)
|
100% |
676
901.8 IPS |
|
|
Text Classification (Q)
|
91% |
971
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (Q)
|
57% |
697
17.0 IPS |
