Google Pixel 8 Pro
Geekbench AI Score
387
Single Precision Score
4229
Half Precision Score
7398
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 06:13 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
269
50.1 IPS |
|
|
Image Classification (HP)
|
100% |
5555
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
6078
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
337
5.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
6568
106.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
15904
258.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
405
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
30945
36.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
63290
74.1 IPS |
|
|
Object Detection (SP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
4674
370.7 IPS |
|
|
Object Detection (Q)
|
87% |
5370
430.8 IPS |
|
|
Face Detection (SP)
|
100% |
548
6.51 IPS |
|
|
Face Detection (HP)
|
100% |
12328
146.5 IPS |
|
|
Face Detection (Q)
|
97% |
24579
293.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
506
3.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
29849
230.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
33930
312.3 IPS |
|
|
Style Transfer (SP)
|
100% |
702
0.90 IPS |
|
|
Style Transfer (HP)
|
100% |
701
0.90 IPS |
|
|
Style Transfer (Q)
|
72% |
2841
3.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
267
9.85 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8708
321.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14555
539.3 IPS |
|
|
Text Classification (SP)
|
100% |
321
428.1 IPS |
|
|
Text Classification (HP)
|
100% |
342
456.9 IPS |
|
|
Text Classification (Q)
|
92% |
1352
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
516
8.89 IPS |
|
|
Machine Translation (HP)
|
100% |
452
7.79 IPS |
|
|
Machine Translation (Q)
|
57% |
321
7.85 IPS |
