Google rauru
Geekbench AI Score
515
Single Precision Score
598
Half Precision Score
1340
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 01 2025 04:12 PM |
| Views | 3 |
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% |
418
77.8 IPS |
|
|
Image Classification (HP)
|
100% |
419
78.0 IPS |
|
|
Image Classification (Q)
|
99% |
1123
209.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
529
8.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
536
8.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
1080
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
678
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
665
0.78 IPS |
|
|
Pose Estimation (Q)
|
98% |
2869
3.36 IPS |
|
|
Object Detection (SP)
|
100% |
394
31.3 IPS |
|
|
Object Detection (HP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (Q)
|
87% |
1177
94.4 IPS |
|
|
Face Detection (SP)
|
100% |
938
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
315
3.74 IPS |
|
|
Face Detection (Q)
|
97% |
623
7.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
260
2.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
863
6.65 IPS |
|
|
Depth Estimation (Q)
|
64% |
2076
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1294
1.66 IPS |
|
|
Style Transfer (HP)
|
100% |
1274
1.64 IPS |
|
|
Style Transfer (Q)
|
98% |
3234
4.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
451
16.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1738
64.4 IPS |
|
|
Text Classification (SP)
|
100% |
170
227.1 IPS |
|
|
Text Classification (HP)
|
100% |
666
889.0 IPS |
|
|
Text Classification (Q)
|
91% |
956
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
922
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
927
16.0 IPS |
|
|
Machine Translation (Q)
|
57% |
659
16.1 IPS |
