Google Pixel 6 Pro
Geekbench AI Score
193
Single Precision Score
1197
Half Precision Score
4438
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 30 2025 07:57 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
128
23.8 IPS |
|
|
Image Classification (HP)
|
100% |
3870
719.7 IPS |
|
|
Image Classification (Q)
|
99% |
6191
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
160
2.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
3143
51.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8142
132.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
192
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
16263
19.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
40623
47.6 IPS |
|
|
Object Detection (SP)
|
100% |
111
8.77 IPS |
|
|
Object Detection (HP)
|
100% |
111
8.83 IPS |
|
|
Object Detection (Q)
|
87% |
334
26.8 IPS |
|
|
Face Detection (SP)
|
100% |
327
3.89 IPS |
|
|
Face Detection (HP)
|
100% |
8651
102.8 IPS |
|
|
Face Detection (Q)
|
97% |
16076
191.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
249
1.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
17075
131.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
23972
220.7 IPS |
|
|
Style Transfer (SP)
|
100% |
432
0.55 IPS |
|
|
Style Transfer (HP)
|
100% |
405
0.52 IPS |
|
|
Style Transfer (Q)
|
98% |
2513
3.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
119
4.40 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
121
4.45 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11604
430.0 IPS |
|
|
Text Classification (SP)
|
100% |
160
213.3 IPS |
|
|
Text Classification (HP)
|
100% |
160
213.6 IPS |
|
|
Text Classification (Q)
|
92% |
1588
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (HP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (Q)
|
57% |
243
5.94 IPS |
