Google Pixel 6
Geekbench AI Score
448
Single Precision Score
595
Half Precision Score
601
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 06:54 PM |
| 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 | 7.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
251
46.7 IPS |
|
|
Image Classification (HP)
|
100% |
458
85.2 IPS |
|
|
Image Classification (Q)
|
99% |
390
72.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
586
9.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
978
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
920
15.0 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% |
463
36.8 IPS |
|
|
Object Detection (Q)
|
83% |
459
37.1 IPS |
|
|
Face Detection (SP)
|
100% |
1387
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
1792
21.3 IPS |
|
|
Face Detection (Q)
|
97% |
1844
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
545
4.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
658
5.07 IPS |
|
|
Depth Estimation (Q)
|
62% |
518
4.90 IPS |
|
|
Style Transfer (SP)
|
100% |
1456
1.87 IPS |
|
|
Style Transfer (HP)
|
100% |
2581
3.32 IPS |
|
|
Style Transfer (Q)
|
98% |
2546
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
353
13.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
433
16.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
449
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
171
227.8 IPS |
|
|
Text Classification (HP)
|
100% |
173
230.9 IPS |
|
|
Text Classification (Q)
|
91% |
390
524.3 IPS |
|
|
Machine Translation (SP)
|
100% |
284
4.90 IPS |
|
|
Machine Translation (HP)
|
100% |
274
4.72 IPS |
|
|
Machine Translation (Q)
|
57% |
205
5.00 IPS |
