Google Pixel 6 Pro
Geekbench AI Score
680
Single Precision Score
1037
Half Precision Score
863
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Lntano |
| Upload Date | July 28 2025 12:02 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 6 Pro |
| Model ID | Google Pixel 6 Pro |
| Motherboard | raven |
| Governor | powersave |
| 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% |
228
42.5 IPS |
|
|
Image Classification (HP)
|
100% |
614
114.2 IPS |
|
|
Image Classification (Q)
|
97% |
554
103.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
927
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1359
22.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1077
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3229
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3754
4.38 IPS |
|
|
Pose Estimation (Q)
|
95% |
3651
4.28 IPS |
|
|
Object Detection (SP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (HP)
|
99% |
430
34.1 IPS |
|
|
Object Detection (Q)
|
83% |
447
36.1 IPS |
|
|
Face Detection (SP)
|
100% |
1478
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
2395
28.5 IPS |
|
|
Face Detection (Q)
|
96% |
2343
27.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1808
13.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2972
23.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
2341
22.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6328
8.13 IPS |
|
|
Style Transfer (HP)
|
100% |
11554
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
12582
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1288
47.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2204
81.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2183
80.9 IPS |
|
|
Text Classification (SP)
|
35% |
24
216.4 IPS |
|
|
Text Classification (HP)
|
29% |
15
260.5 IPS |
|
|
Text Classification (Q)
|
29% |
16
283.8 IPS |
|
|
Machine Translation (SP)
|
100% |
308
5.31 IPS |
|
|
Machine Translation (HP)
|
100% |
393
6.76 IPS |
|
|
Machine Translation (Q)
|
43% |
98
5.70 IPS |
