Google Pixel 8 Pro
Geekbench AI Score
1369
Single Precision Score
1375
Half Precision Score
2757
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 12:44 PM |
| Views | 1 |
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% |
850
158.1 IPS |
|
|
Image Classification (HP)
|
100% |
788
146.6 IPS |
|
|
Image Classification (Q)
|
100% |
2373
441.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1065
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1094
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1742
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1761
2.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
1752
2.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
4790
5.68 IPS |
|
|
Object Detection (SP)
|
98% |
892
71.0 IPS |
|
|
Object Detection (HP)
|
98% |
909
72.3 IPS |
|
|
Object Detection (Q)
|
83% |
2199
177.7 IPS |
|
|
Face Detection (SP)
|
100% |
1914
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
1913
22.7 IPS |
|
|
Face Detection (Q)
|
95% |
4924
58.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1796
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1781
13.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5272
48.3 IPS |
|
|
Style Transfer (SP)
|
89% |
4698
6.10 IPS |
|
|
Style Transfer (HP)
|
89% |
5149
6.68 IPS |
|
|
Style Transfer (Q)
|
98% |
11735
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1612
59.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1623
59.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4010
148.6 IPS |
|
|
Text Classification (SP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
758
1.01 KIPS |
|
|
Text Classification (Q)
|
88% |
1226
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
813
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (Q)
|
50% |
390
13.9 IPS |
