Google Pixel 6 Pro
Geekbench AI Score
1006
Single Precision Score
1465
Half Precision Score
1159
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Lntano |
| Upload Date | July 28 2025 12:07 PM |
| Views | 14 |
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% |
440
81.8 IPS |
|
|
Image Classification (HP)
|
100% |
738
137.3 IPS |
|
|
Image Classification (Q)
|
97% |
710
132.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1704
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5648
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
10037
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9905
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
438
34.7 IPS |
|
|
Object Detection (HP)
|
99% |
640
50.8 IPS |
|
|
Object Detection (Q)
|
83% |
635
51.3 IPS |
|
|
Face Detection (SP)
|
100% |
2055
24.4 IPS |
|
|
Face Detection (HP)
|
100% |
3506
41.7 IPS |
|
|
Face Detection (Q)
|
96% |
2882
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3255
25.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5296
40.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4002
38.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9907
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19897
25.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19303
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1525
56.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2236
82.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2128
78.9 IPS |
|
|
Text Classification (SP)
|
35% |
25
224.8 IPS |
|
|
Text Classification (HP)
|
29% |
16
271.0 IPS |
|
|
Text Classification (Q)
|
29% |
14
239.2 IPS |
|
|
Machine Translation (SP)
|
100% |
300
5.17 IPS |
|
|
Machine Translation (HP)
|
100% |
369
6.36 IPS |
|
|
Machine Translation (Q)
|
43% |
87
5.06 IPS |
