Google Pixel 6 Pro
Geekbench AI Score
187
Single Precision Score
1189
Half Precision Score
4413
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | MrTom |
| Upload Date | August 29 2025 08:37 PM |
| Views | 7 |
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% |
3873
720.3 IPS |
|
|
Image Classification (Q)
|
99% |
6145
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
157
2.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
3100
50.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8054
131.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
180
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
16293
19.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
39965
46.8 IPS |
|
|
Object Detection (SP)
|
100% |
106
8.38 IPS |
|
|
Object Detection (HP)
|
100% |
104
8.28 IPS |
|
|
Object Detection (Q)
|
87% |
332
26.6 IPS |
|
|
Face Detection (SP)
|
100% |
306
3.64 IPS |
|
|
Face Detection (HP)
|
100% |
8795
104.5 IPS |
|
|
Face Detection (Q)
|
97% |
16840
200.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
239
1.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
16947
130.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
23854
219.6 IPS |
|
|
Style Transfer (SP)
|
100% |
411
0.53 IPS |
|
|
Style Transfer (HP)
|
100% |
409
0.53 IPS |
|
|
Style Transfer (Q)
|
98% |
2488
3.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
111
4.11 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
111
4.10 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11285
418.1 IPS |
|
|
Text Classification (SP)
|
100% |
160
213.5 IPS |
|
|
Text Classification (HP)
|
100% |
160
213.4 IPS |
|
|
Text Classification (Q)
|
92% |
1625
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
261
4.50 IPS |
|
|
Machine Translation (HP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (Q)
|
57% |
233
5.69 IPS |
