Google Pixel 6 Pro
Geekbench AI Score
1015
Single Precision Score
1606
Half Precision Score
1255
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Lntano |
| Upload Date | August 12 2025 12:35 AM |
| Views | 9 |
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% |
509
94.7 IPS |
|
|
Image Classification (HP)
|
100% |
863
160.4 IPS |
|
|
Image Classification (Q)
|
97% |
777
145.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1375
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2349
38.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1928
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5432
6.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
9541
11.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
9065
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (HP)
|
99% |
777
61.7 IPS |
|
|
Object Detection (Q)
|
83% |
681
55.0 IPS |
|
|
Face Detection (SP)
|
100% |
2123
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
3533
42.0 IPS |
|
|
Face Detection (Q)
|
96% |
3197
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2756
21.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
4678
36.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
3549
33.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7749
9.96 IPS |
|
|
Style Transfer (HP)
|
100% |
16117
20.7 IPS |
|
|
Style Transfer (Q)
|
98% |
14802
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1306
48.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2310
85.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2270
84.1 IPS |
|
|
Text Classification (SP)
|
35% |
32
293.2 IPS |
|
|
Text Classification (HP)
|
29% |
24
421.5 IPS |
|
|
Text Classification (Q)
|
29% |
23
402.4 IPS |
|
|
Machine Translation (SP)
|
100% |
386
6.64 IPS |
|
|
Machine Translation (HP)
|
100% |
517
8.91 IPS |
|
|
Machine Translation (Q)
|
43% |
120
6.96 IPS |
