Google Pixel 6
Geekbench AI Score
510
Single Precision Score
634
Half Precision Score
637
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | tommilostny |
| Upload Date | January 16 2025 12:05 AM |
| Views | 2 |
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% |
311
57.8 IPS |
|
|
Image Classification (HP)
|
100% |
411
76.5 IPS |
|
|
Image Classification (Q)
|
99% |
382
71.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
634
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
958
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1005
16.3 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% |
342
27.1 IPS |
|
|
Object Detection (HP)
|
100% |
439
34.9 IPS |
|
|
Object Detection (Q)
|
83% |
447
36.1 IPS |
|
|
Face Detection (SP)
|
100% |
1381
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
1806
21.5 IPS |
|
|
Face Detection (Q)
|
97% |
1761
21.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
644
4.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
662
5.10 IPS |
|
|
Depth Estimation (Q)
|
62% |
521
4.93 IPS |
|
|
Style Transfer (SP)
|
100% |
1443
1.85 IPS |
|
|
Style Transfer (HP)
|
100% |
2616
3.36 IPS |
|
|
Style Transfer (Q)
|
98% |
2560
3.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
375
13.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
449
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
444
16.4 IPS |
|
|
Text Classification (SP)
|
100% |
264
352.2 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.6 IPS |
|
|
Text Classification (Q)
|
91% |
490
659.2 IPS |
|
|
Machine Translation (SP)
|
100% |
410
7.07 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (Q)
|
57% |
292
7.12 IPS |
