Google Pixel 6 Pro
Geekbench AI Score
213
Single Precision Score
1367
Half Precision Score
5003
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 10:03 PM |
| Views | 2 |
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% |
145
26.9 IPS |
|
|
Image Classification (HP)
|
100% |
4336
806.3 IPS |
|
|
Image Classification (Q)
|
99% |
7038
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
186
3.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
3672
59.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9748
158.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
225
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
19245
22.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
47194
55.3 IPS |
|
|
Object Detection (SP)
|
100% |
129
10.2 IPS |
|
|
Object Detection (HP)
|
100% |
130
10.3 IPS |
|
|
Object Detection (Q)
|
87% |
361
28.9 IPS |
|
|
Face Detection (SP)
|
100% |
332
3.94 IPS |
|
|
Face Detection (HP)
|
100% |
10089
119.9 IPS |
|
|
Face Detection (Q)
|
97% |
18972
226.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
261
2.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
19583
150.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
27658
254.6 IPS |
|
|
Style Transfer (SP)
|
100% |
463
0.60 IPS |
|
|
Style Transfer (HP)
|
100% |
459
0.59 IPS |
|
|
Style Transfer (Q)
|
98% |
2726
3.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
121
4.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
124
4.59 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13428
497.6 IPS |
|
|
Text Classification (SP)
|
100% |
176
235.1 IPS |
|
|
Text Classification (HP)
|
100% |
177
236.1 IPS |
|
|
Text Classification (Q)
|
92% |
1605
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
294
5.07 IPS |
|
|
Machine Translation (HP)
|
100% |
289
4.97 IPS |
|
|
Machine Translation (Q)
|
57% |
273
6.67 IPS |
