Google Pixel 8 Pro
Geekbench AI Score
1673
Single Precision Score
1612
Half Precision Score
2631
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | xRoach |
| Upload Date | August 23 2025 08:42 PM |
| Views | 11 |
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 | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1118
208.0 IPS |
|
|
Image Classification (HP)
|
100% |
1156
214.9 IPS |
|
|
Image Classification (Q)
|
100% |
2645
491.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1116
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1088
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2638
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3165
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2918
3.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
6886
8.17 IPS |
|
|
Object Detection (SP)
|
98% |
1539
122.5 IPS |
|
|
Object Detection (HP)
|
98% |
1372
109.2 IPS |
|
|
Object Detection (Q)
|
83% |
2177
175.8 IPS |
|
|
Face Detection (SP)
|
100% |
2928
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
2933
34.9 IPS |
|
|
Face Detection (Q)
|
95% |
5342
63.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2934
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2835
21.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5385
49.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6763
8.78 IPS |
|
|
Style Transfer (HP)
|
89% |
6707
8.71 IPS |
|
|
Style Transfer (Q)
|
98% |
11793
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1083
40.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1037
38.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2256
83.6 IPS |
|
|
Text Classification (SP)
|
100% |
453
604.0 IPS |
|
|
Text Classification (HP)
|
99% |
450
600.0 IPS |
|
|
Text Classification (Q)
|
88% |
648
874.6 IPS |
|
|
Machine Translation (SP)
|
100% |
993
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (Q)
|
50% |
307
10.9 IPS |
