Google Pixel 6 Pro
Geekbench AI Score
714
Single Precision Score
698
Half Precision Score
1316
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 08:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 6 Pro |
| Model ID | Google Pixel 6 Pro |
| Motherboard | raven |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.25 GHz |
| Cluster 3 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
424
78.8 IPS |
|
|
Image Classification (HP)
|
100% |
400
74.4 IPS |
|
|
Image Classification (Q)
|
100% |
1146
213.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
443
7.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
447
7.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
1218
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1525
1.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
1272
1.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
2029
2.41 IPS |
|
|
Object Detection (SP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (HP)
|
100% |
292
23.1 IPS |
|
|
Object Detection (Q)
|
83% |
836
67.5 IPS |
|
|
Face Detection (SP)
|
100% |
995
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
932
11.1 IPS |
|
|
Face Detection (Q)
|
95% |
1876
22.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1163
8.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
1145
8.82 IPS |
|
|
Depth Estimation (Q)
|
64% |
1867
17.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2229
2.89 IPS |
|
|
Style Transfer (HP)
|
89% |
2207
2.87 IPS |
|
|
Style Transfer (Q)
|
98% |
4660
6.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
713
26.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
709
26.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1197
44.3 IPS |
|
|
Text Classification (SP)
|
100% |
413
550.8 IPS |
|
|
Text Classification (HP)
|
100% |
430
573.5 IPS |
|
|
Text Classification (Q)
|
88% |
772
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
599
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
577
9.94 IPS |
|
|
Machine Translation (Q)
|
50% |
438
15.5 IPS |
