Google Pixel 6
Geekbench AI Score
492
Single Precision Score
700
Half Precision Score
623
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Ray5 |
| Upload Date | December 15 2024 04:01 AM |
| Views | 6 |
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% |
282
52.5 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.9 IPS |
|
|
Image Classification (Q)
|
99% |
328
61.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
654
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1008
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
854
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
342
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
436
0.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
433
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
344
27.3 IPS |
|
|
Object Detection (HP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (Q)
|
83% |
406
32.8 IPS |
|
|
Face Detection (SP)
|
100% |
1350
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
1904
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
1777
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
532
4.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
864
6.66 IPS |
|
|
Depth Estimation (Q)
|
62% |
556
5.27 IPS |
|
|
Style Transfer (SP)
|
100% |
1444
1.86 IPS |
|
|
Style Transfer (HP)
|
100% |
2578
3.31 IPS |
|
|
Style Transfer (Q)
|
98% |
2601
3.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
365
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
727
26.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
502
18.6 IPS |
|
|
Text Classification (SP)
|
100% |
260
346.6 IPS |
|
|
Text Classification (HP)
|
100% |
256
342.2 IPS |
|
|
Text Classification (Q)
|
91% |
468
629.6 IPS |
|
|
Machine Translation (SP)
|
100% |
394
6.79 IPS |
|
|
Machine Translation (HP)
|
100% |
399
6.88 IPS |
|
|
Machine Translation (Q)
|
57% |
297
7.26 IPS |
