Google rauru
Geekbench AI Score
1930
Single Precision Score
2143
Half Precision Score
3197
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 12:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1848
343.7 IPS |
|
|
Image Classification (HP)
|
100% |
1918
356.6 IPS |
|
|
Image Classification (Q)
|
100% |
2808
522.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2209
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2209
35.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3149
51.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3671
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3589
4.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
7240
8.59 IPS |
|
|
Object Detection (SP)
|
98% |
426
33.9 IPS |
|
|
Object Detection (HP)
|
98% |
1827
145.4 IPS |
|
|
Object Detection (Q)
|
83% |
2528
204.2 IPS |
|
|
Face Detection (SP)
|
100% |
3439
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
3487
41.4 IPS |
|
|
Face Detection (Q)
|
95% |
6066
72.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3915
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3919
30.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
6074
55.6 IPS |
|
|
Style Transfer (SP)
|
89% |
8399
10.9 IPS |
|
|
Style Transfer (HP)
|
89% |
8919
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16432
21.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
534
19.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1429
52.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
868
32.2 IPS |
|
|
Text Classification (SP)
|
100% |
901
1.20 KIPS |
|
|
Text Classification (HP)
|
99% |
214
285.1 IPS |
|
|
Text Classification (Q)
|
88% |
1367
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2069
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1974
34.0 IPS |
|
|
Machine Translation (Q)
|
50% |
960
34.1 IPS |
