Google Pixel 8 Pro
Geekbench AI Score
1027
Single Precision Score
988
Half Precision Score
1469
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 06 2025 06:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
730
135.7 IPS |
|
|
Image Classification (HP)
|
100% |
765
142.3 IPS |
|
|
Image Classification (Q)
|
100% |
1009
187.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
849
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
863
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1309
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1584
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
1512
1.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
2885
3.42 IPS |
|
|
Object Detection (SP)
|
98% |
732
58.2 IPS |
|
|
Object Detection (HP)
|
98% |
736
58.6 IPS |
|
|
Object Detection (Q)
|
83% |
989
79.9 IPS |
|
|
Face Detection (SP)
|
100% |
1682
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
1737
20.6 IPS |
|
|
Face Detection (Q)
|
95% |
2499
29.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1652
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1137
8.79 IPS |
|
|
Depth Estimation (Q)
|
64% |
2643
24.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3866
5.02 IPS |
|
|
Style Transfer (HP)
|
89% |
3922
5.09 IPS |
|
|
Style Transfer (Q)
|
98% |
7363
9.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
792
29.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
808
29.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1754
65.0 IPS |
|
|
Text Classification (SP)
|
100% |
321
428.6 IPS |
|
|
Text Classification (HP)
|
99% |
306
408.3 IPS |
|
|
Text Classification (Q)
|
88% |
517
696.7 IPS |
|
|
Machine Translation (SP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (Q)
|
50% |
282
10.0 IPS |
