Google rauru
Geekbench AI Score
613
Single Precision Score
613
Half Precision Score
1403
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 18 2025 04:41 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% |
397
73.8 IPS |
|
|
Image Classification (HP)
|
100% |
399
74.3 IPS |
|
|
Image Classification (Q)
|
99% |
1057
197.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
504
8.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
517
8.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
1025
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
634
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
623
0.73 IPS |
|
|
Pose Estimation (Q)
|
98% |
2687
3.15 IPS |
|
|
Object Detection (SP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (HP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (Q)
|
87% |
1113
89.3 IPS |
|
|
Face Detection (SP)
|
100% |
877
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
886
10.5 IPS |
|
|
Face Detection (Q)
|
97% |
2100
25.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
756
5.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
763
5.87 IPS |
|
|
Depth Estimation (Q)
|
64% |
1903
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1180
1.52 IPS |
|
|
Style Transfer (HP)
|
100% |
1165
1.50 IPS |
|
|
Style Transfer (Q)
|
98% |
2986
3.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
411
15.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
411
15.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1446
53.6 IPS |
|
|
Text Classification (SP)
|
100% |
586
782.0 IPS |
|
|
Text Classification (HP)
|
100% |
585
781.0 IPS |
|
|
Text Classification (Q)
|
91% |
887
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
842
14.5 IPS |
|
|
Machine Translation (Q)
|
57% |
597
14.6 IPS |
