Google Pixel 6
Geekbench AI Score
527
Single Precision Score
728
Half Precision Score
751
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | musarikhotso |
| Upload Date | March 24 2025 07:02 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 6 |
| Model ID | Google Pixel 6 |
| Motherboard | oriole |
| 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 | 7.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
437
81.2 IPS |
|
|
Image Classification (HP)
|
100% |
686
127.6 IPS |
|
|
Image Classification (Q)
|
99% |
643
120.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
761
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1230
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1149
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
343
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
438
0.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
436
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
399
31.7 IPS |
|
|
Object Detection (HP)
|
100% |
611
48.5 IPS |
|
|
Object Detection (Q)
|
83% |
608
49.2 IPS |
|
|
Face Detection (SP)
|
100% |
1799
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
2630
31.2 IPS |
|
|
Face Detection (Q)
|
97% |
2529
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
664
5.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
856
6.59 IPS |
|
|
Depth Estimation (Q)
|
62% |
695
6.58 IPS |
|
|
Style Transfer (SP)
|
100% |
1473
1.89 IPS |
|
|
Style Transfer (HP)
|
100% |
2665
3.43 IPS |
|
|
Style Transfer (Q)
|
98% |
2642
3.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
462
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
682
25.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
665
24.7 IPS |
|
|
Text Classification (SP)
|
100% |
162
216.1 IPS |
|
|
Text Classification (HP)
|
100% |
167
222.6 IPS |
|
|
Text Classification (Q)
|
91% |
363
487.7 IPS |
|
|
Machine Translation (SP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (HP)
|
100% |
274
4.73 IPS |
|
|
Machine Translation (Q)
|
57% |
263
6.42 IPS |
