Google Pixel 6 Pro
Geekbench AI Score
210
Single Precision Score
1356
Half Precision Score
4893
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 07:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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
27.0 IPS |
|
|
Image Classification (HP)
|
100% |
4383
815.1 IPS |
|
|
Image Classification (Q)
|
99% |
6885
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
184
2.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
3665
59.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9659
157.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
222
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
19932
23.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
48659
57.0 IPS |
|
|
Object Detection (SP)
|
100% |
125
9.91 IPS |
|
|
Object Detection (HP)
|
100% |
119
9.45 IPS |
|
|
Object Detection (Q)
|
87% |
377
30.2 IPS |
|
|
Face Detection (SP)
|
100% |
339
4.02 IPS |
|
|
Face Detection (HP)
|
100% |
9962
118.4 IPS |
|
|
Face Detection (Q)
|
97% |
18949
225.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
267
2.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
21734
167.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
27244
250.8 IPS |
|
|
Style Transfer (SP)
|
100% |
449
0.58 IPS |
|
|
Style Transfer (HP)
|
100% |
445
0.57 IPS |
|
|
Style Transfer (Q)
|
98% |
2666
3.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
120
4.45 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
124
4.58 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11761
435.8 IPS |
|
|
Text Classification (SP)
|
100% |
171
227.8 IPS |
|
|
Text Classification (HP)
|
100% |
171
227.8 IPS |
|
|
Text Classification (Q)
|
92% |
1534
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
277
4.78 IPS |
|
|
Machine Translation (HP)
|
100% |
272
4.69 IPS |
|
|
Machine Translation (Q)
|
57% |
260
6.35 IPS |
