Google rauru
Geekbench AI Score
1290
Single Precision Score
919
Half Precision Score
991
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 15 2025 11:02 AM |
| Views | 5 |
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% |
1027
191.1 IPS |
|
|
Image Classification (HP)
|
100% |
740
137.7 IPS |
|
|
Image Classification (Q)
|
99% |
719
134.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1217
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1204
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1172
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
984
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
830
0.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
778
0.91 IPS |
|
|
Object Detection (SP)
|
100% |
793
62.9 IPS |
|
|
Object Detection (HP)
|
100% |
529
41.9 IPS |
|
|
Object Detection (Q)
|
86% |
533
42.9 IPS |
|
|
Face Detection (SP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
2739
32.6 IPS |
|
|
Face Detection (Q)
|
97% |
2419
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1615
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1040
8.01 IPS |
|
|
Depth Estimation (Q)
|
62% |
819
7.84 IPS |
|
|
Style Transfer (SP)
|
100% |
4475
5.75 IPS |
|
|
Style Transfer (HP)
|
100% |
3533
4.54 IPS |
|
|
Style Transfer (Q)
|
98% |
3131
4.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
963
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
685
25.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
669
24.8 IPS |
|
|
Text Classification (SP)
|
100% |
670
894.0 IPS |
|
|
Text Classification (HP)
|
100% |
170
227.3 IPS |
|
|
Text Classification (Q)
|
91% |
950
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (Q)
|
57% |
668
16.3 IPS |
