Google rauru
Geekbench AI Score
1305
Single Precision Score
1059
Half Precision Score
1021
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 01 2025 04:03 PM |
| Views | 3 |
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% |
1039
193.1 IPS |
|
|
Image Classification (HP)
|
100% |
757
140.8 IPS |
|
|
Image Classification (Q)
|
99% |
742
138.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1208
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1184
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
974
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
849
0.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
820
0.96 IPS |
|
|
Object Detection (SP)
|
100% |
801
63.5 IPS |
|
|
Object Detection (HP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (Q)
|
86% |
528
42.5 IPS |
|
|
Face Detection (SP)
|
100% |
2899
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
2646
31.4 IPS |
|
|
Face Detection (Q)
|
97% |
2355
28.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1651
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1110
8.55 IPS |
|
|
Depth Estimation (Q)
|
62% |
876
8.39 IPS |
|
|
Style Transfer (SP)
|
100% |
4540
5.84 IPS |
|
|
Style Transfer (HP)
|
100% |
3489
4.49 IPS |
|
|
Style Transfer (Q)
|
98% |
3521
4.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
972
35.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
706
26.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
702
26.0 IPS |
|
|
Text Classification (SP)
|
100% |
678
904.9 IPS |
|
|
Text Classification (HP)
|
100% |
676
902.1 IPS |
|
|
Text Classification (Q)
|
91% |
950
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
951
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
922
15.9 IPS |
|
|
Machine Translation (Q)
|
57% |
672
16.4 IPS |
