Google Pixel 6
Geekbench AI Score
496
Single Precision Score
663
Half Precision Score
649
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 05:37 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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% |
291
54.2 IPS |
|
|
Image Classification (HP)
|
100% |
474
88.2 IPS |
|
|
Image Classification (Q)
|
97% |
376
70.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
588
9.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
927
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
849
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
354
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
458
0.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
457
0.54 IPS |
|
|
Object Detection (SP)
|
100% |
268
21.2 IPS |
|
|
Object Detection (HP)
|
100% |
342
27.1 IPS |
|
|
Object Detection (Q)
|
92% |
337
26.9 IPS |
|
|
Face Detection (SP)
|
100% |
1190
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
1711
20.3 IPS |
|
|
Face Detection (Q)
|
97% |
1649
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
616
4.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
711
5.48 IPS |
|
|
Depth Estimation (Q)
|
72% |
651
5.39 IPS |
|
|
Style Transfer (SP)
|
100% |
1487
1.91 IPS |
|
|
Style Transfer (HP)
|
100% |
2675
3.44 IPS |
|
|
Style Transfer (Q)
|
98% |
2716
3.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
380
14.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
553
20.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
550
20.4 IPS |
|
|
Text Classification (SP)
|
100% |
293
390.7 IPS |
|
|
Text Classification (HP)
|
100% |
293
391.0 IPS |
|
|
Text Classification (Q)
|
91% |
513
689.8 IPS |
|
|
Machine Translation (SP)
|
100% |
458
7.89 IPS |
|
|
Machine Translation (HP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (Q)
|
57% |
332
8.12 IPS |
