Google Pixel 6 Pro
Geekbench AI Score
854
Single Precision Score
828
Half Precision Score
1500
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 05:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 6 Pro |
| Model ID | Google Pixel 6 Pro |
| Motherboard | raven |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
480
89.3 IPS |
|
|
Image Classification (HP)
|
100% |
480
89.2 IPS |
|
|
Image Classification (Q)
|
100% |
1244
231.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
534
8.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
544
8.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
1352
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1914
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1812
2.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
2632
3.12 IPS |
|
|
Object Detection (SP)
|
100% |
394
31.2 IPS |
|
|
Object Detection (HP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (Q)
|
83% |
1082
87.4 IPS |
|
|
Face Detection (SP)
|
100% |
1253
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
1068
12.7 IPS |
|
|
Face Detection (Q)
|
95% |
2164
25.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1388
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1396
10.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2171
19.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2622
3.40 IPS |
|
|
Style Transfer (HP)
|
89% |
2560
3.32 IPS |
|
|
Style Transfer (Q)
|
98% |
5428
7.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
812
30.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
858
31.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1408
52.2 IPS |
|
|
Text Classification (SP)
|
100% |
429
572.1 IPS |
|
|
Text Classification (HP)
|
100% |
428
570.9 IPS |
|
|
Text Classification (Q)
|
88% |
744
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
598
10.3 IPS |
|
|
Machine Translation (Q)
|
50% |
453
16.1 IPS |
