Google Pixel 6 Pro
Geekbench AI Score
217
Single Precision Score
1368
Half Precision Score
5092
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 01 2025 05:36 PM |
| Views | 1 |
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% |
141
26.3 IPS |
|
|
Image Classification (HP)
|
100% |
4257
791.6 IPS |
|
|
Image Classification (Q)
|
99% |
6975
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
177
2.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
3553
57.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9488
154.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
220
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
19204
22.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
47071
55.1 IPS |
|
|
Object Detection (SP)
|
100% |
129
10.2 IPS |
|
|
Object Detection (HP)
|
100% |
129
10.3 IPS |
|
|
Object Detection (Q)
|
87% |
396
31.8 IPS |
|
|
Face Detection (SP)
|
100% |
355
4.22 IPS |
|
|
Face Detection (HP)
|
100% |
9745
115.8 IPS |
|
|
Face Detection (Q)
|
97% |
18756
223.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
284
2.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
19543
150.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
28137
259.0 IPS |
|
|
Style Transfer (SP)
|
100% |
491
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
483
0.62 IPS |
|
|
Style Transfer (Q)
|
98% |
2820
3.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
125
4.63 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
123
4.56 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13412
497.0 IPS |
|
|
Text Classification (SP)
|
100% |
184
245.6 IPS |
|
|
Text Classification (HP)
|
100% |
185
247.1 IPS |
|
|
Text Classification (Q)
|
92% |
1725
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
297
5.11 IPS |
|
|
Machine Translation (HP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (Q)
|
57% |
276
6.74 IPS |
