Google Pixel 6
Geekbench AI Score
1006
Single Precision Score
1009
Half Precision Score
1852
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 20 2025 04:21 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
513
95.4 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.7 IPS |
|
|
Image Classification (Q)
|
100% |
1364
253.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
594
9.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
582
9.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
1502
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1905
2.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
2072
2.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
3019
3.58 IPS |
|
|
Object Detection (SP)
|
100% |
451
35.7 IPS |
|
|
Object Detection (HP)
|
100% |
448
35.5 IPS |
|
|
Object Detection (Q)
|
83% |
1212
97.9 IPS |
|
|
Face Detection (SP)
|
100% |
1371
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
1397
16.6 IPS |
|
|
Face Detection (Q)
|
95% |
2860
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1784
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1772
13.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2795
25.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3200
4.15 IPS |
|
|
Style Transfer (HP)
|
89% |
3236
4.20 IPS |
|
|
Style Transfer (Q)
|
98% |
6832
8.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1040
38.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1035
38.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1731
64.1 IPS |
|
|
Text Classification (SP)
|
100% |
593
791.4 IPS |
|
|
Text Classification (HP)
|
100% |
597
796.4 IPS |
|
|
Text Classification (Q)
|
88% |
1091
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (Q)
|
50% |
614
21.8 IPS |
