Google Pixel 8 Pro
Geekbench AI Score
1596
Single Precision Score
1511
Half Precision Score
2954
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | JiggaBoom |
| Upload Date | February 26 2025 09:13 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1404
261.1 IPS |
|
|
Image Classification (HP)
|
100% |
683
127.0 IPS |
|
|
Image Classification (Q)
|
100% |
2585
480.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1722
27.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2606
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1954
2.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3061
3.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
6808
8.07 IPS |
|
|
Object Detection (SP)
|
98% |
843
67.1 IPS |
|
|
Object Detection (HP)
|
98% |
855
68.0 IPS |
|
|
Object Detection (Q)
|
83% |
2247
181.5 IPS |
|
|
Face Detection (SP)
|
100% |
1956
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
1912
22.7 IPS |
|
|
Face Detection (Q)
|
95% |
5710
68.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1787
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1764
13.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5189
47.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7523
9.77 IPS |
|
|
Style Transfer (HP)
|
89% |
7009
9.10 IPS |
|
|
Style Transfer (Q)
|
98% |
14567
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1537
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1541
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3266
121.0 IPS |
|
|
Text Classification (SP)
|
100% |
628
838.7 IPS |
|
|
Text Classification (HP)
|
99% |
608
812.0 IPS |
|
|
Text Classification (Q)
|
88% |
755
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1075
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
915
15.8 IPS |
|
|
Machine Translation (Q)
|
50% |
462
16.4 IPS |
