Google Pixel 6 Pro
Geekbench AI Score
887
Single Precision Score
885
Half Precision Score
1628
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | July 01 2025 08:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 11.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
465
86.5 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.4 IPS |
|
|
Image Classification (Q)
|
100% |
1261
234.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
540
8.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
537
8.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
1394
22.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1924
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1876
2.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
2761
3.28 IPS |
|
|
Object Detection (SP)
|
100% |
396
31.4 IPS |
|
|
Object Detection (HP)
|
100% |
399
31.7 IPS |
|
|
Object Detection (Q)
|
83% |
1098
88.7 IPS |
|
|
Face Detection (SP)
|
100% |
1255
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
1290
15.3 IPS |
|
|
Face Detection (Q)
|
95% |
2515
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1584
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1548
11.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2381
21.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2569
3.33 IPS |
|
|
Style Transfer (HP)
|
89% |
2602
3.38 IPS |
|
|
Style Transfer (Q)
|
98% |
5695
7.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
868
32.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
880
32.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1535
56.9 IPS |
|
|
Text Classification (SP)
|
100% |
515
688.0 IPS |
|
|
Text Classification (HP)
|
100% |
516
689.2 IPS |
|
|
Text Classification (Q)
|
88% |
912
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (Q)
|
50% |
515
18.3 IPS |
