Google Pixel 6
Geekbench AI Score
513
Single Precision Score
674
Half Precision Score
623
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 08:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
335
62.4 IPS |
|
|
Image Classification (HP)
|
100% |
484
90.0 IPS |
|
|
Image Classification (Q)
|
99% |
441
82.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
600
9.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
865
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
787
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
341
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
435
0.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
433
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
335
26.6 IPS |
|
|
Object Detection (HP)
|
100% |
438
34.8 IPS |
|
|
Object Detection (Q)
|
83% |
382
30.9 IPS |
|
|
Face Detection (SP)
|
100% |
1403
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
1936
23.0 IPS |
|
|
Face Detection (Q)
|
97% |
1838
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
546
4.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
748
5.76 IPS |
|
|
Depth Estimation (Q)
|
62% |
532
5.04 IPS |
|
|
Style Transfer (SP)
|
100% |
1425
1.83 IPS |
|
|
Style Transfer (HP)
|
100% |
2536
3.26 IPS |
|
|
Style Transfer (Q)
|
98% |
2536
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
340
12.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
461
17.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
348
12.9 IPS |
|
|
Text Classification (SP)
|
100% |
315
421.0 IPS |
|
|
Text Classification (HP)
|
100% |
312
415.9 IPS |
|
|
Text Classification (Q)
|
91% |
531
713.8 IPS |
|
|
Machine Translation (SP)
|
100% |
478
8.23 IPS |
|
|
Machine Translation (HP)
|
100% |
465
8.00 IPS |
|
|
Machine Translation (Q)
|
57% |
337
8.24 IPS |
