Google Pixel 6
Geekbench AI Score
934
Single Precision Score
919
Half Precision Score
1723
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Ray5 |
| Upload Date | December 15 2024 03:50 AM |
| Views | 4 |
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% |
470
87.4 IPS |
|
|
Image Classification (HP)
|
100% |
464
86.3 IPS |
|
|
Image Classification (Q)
|
100% |
1268
235.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
538
8.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
516
8.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
1375
22.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1879
2.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1648
1.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
2837
3.36 IPS |
|
|
Object Detection (SP)
|
100% |
406
32.2 IPS |
|
|
Object Detection (HP)
|
100% |
409
32.5 IPS |
|
|
Object Detection (Q)
|
83% |
1129
91.2 IPS |
|
|
Face Detection (SP)
|
100% |
1274
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
1274
15.1 IPS |
|
|
Face Detection (Q)
|
95% |
2582
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1626
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1660
12.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2590
23.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3045
3.95 IPS |
|
|
Style Transfer (HP)
|
89% |
3045
3.95 IPS |
|
|
Style Transfer (Q)
|
98% |
6319
8.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
970
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
959
35.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1620
60.0 IPS |
|
|
Text Classification (SP)
|
100% |
551
735.2 IPS |
|
|
Text Classification (HP)
|
100% |
570
761.4 IPS |
|
|
Text Classification (Q)
|
88% |
1060
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
781
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (Q)
|
50% |
570
20.2 IPS |
