Google Pixel 8 Pro
Geekbench AI Score
986
Single Precision Score
974
Half Precision Score
1317
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | CME |
| Upload Date | August 15 2024 06:36 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 8 Pro |
| Model ID | Google Pixel 8 Pro |
| Motherboard | husky |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores @ 1.70 GHz |
| Cluster 2 | 4 Cores @ 2.37 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 11.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1586
294.9 IPS |
|
|
Image Classification (HP)
|
100% |
569
105.8 IPS |
|
|
Image Classification (Q)
|
100% |
1014
188.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
589
9.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
672
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
982
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1529
1.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
1834
2.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
4534
5.38 IPS |
|
|
Object Detection (SP)
|
98% |
938
74.7 IPS |
|
|
Object Detection (HP)
|
98% |
876
69.7 IPS |
|
|
Object Detection (Q)
|
87% |
732
58.8 IPS |
|
|
Face Detection (SP)
|
100% |
930
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
975
11.6 IPS |
|
|
Face Detection (Q)
|
95% |
1609
19.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1678
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1721
13.3 IPS |
|
|
Depth Estimation (Q)
|
75% |
2055
16.7 IPS |
|
|
Style Transfer (SP)
|
89% |
4670
6.06 IPS |
|
|
Style Transfer (HP)
|
89% |
4651
6.04 IPS |
|
|
Style Transfer (Q)
|
98% |
4961
6.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
527
19.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1018
37.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1301
48.2 IPS |
|
|
Text Classification (SP)
|
100% |
191
254.9 IPS |
|
|
Text Classification (HP)
|
99% |
188
250.8 IPS |
|
|
Text Classification (Q)
|
88% |
624
842.2 IPS |
|
|
Machine Translation (SP)
|
100% |
886
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (Q)
|
50% |
357
12.7 IPS |
