Google Pixel 6 Pro
Geekbench AI Score
124
Single Precision Score
876
Half Precision Score
3353
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | SHAD0WBULLET707 |
| Upload Date | April 18 2025 08:42 AM |
| Views | 2 |
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% |
79
14.7 IPS |
|
|
Image Classification (HP)
|
100% |
2959
550.3 IPS |
|
|
Image Classification (Q)
|
99% |
4728
881.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
105
1.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
2333
37.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6415
104.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
119
0.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
12335
14.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30597
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
70
5.55 IPS |
|
|
Object Detection (HP)
|
100% |
70
5.52 IPS |
|
|
Object Detection (Q)
|
87% |
214
17.2 IPS |
|
|
Face Detection (SP)
|
100% |
199
2.36 IPS |
|
|
Face Detection (HP)
|
100% |
6959
82.7 IPS |
|
|
Face Detection (Q)
|
97% |
12372
147.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
158
1.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
13722
105.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
18755
172.7 IPS |
|
|
Style Transfer (SP)
|
100% |
274
0.35 IPS |
|
|
Style Transfer (HP)
|
100% |
274
0.35 IPS |
|
|
Style Transfer (Q)
|
98% |
2044
2.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
74
2.75 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
82
3.04 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
8811
326.5 IPS |
|
|
Text Classification (SP)
|
100% |
112
148.9 IPS |
|
|
Text Classification (HP)
|
100% |
112
148.9 IPS |
|
|
Text Classification (Q)
|
92% |
1260
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
187
3.22 IPS |
|
|
Machine Translation (HP)
|
100% |
187
3.21 IPS |
|
|
Machine Translation (Q)
|
57% |
172
4.21 IPS |
