Google Pixel 8 Pro
Geekbench AI Score
1506
Single Precision Score
1471
Half Precision Score
2253
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 09 2025 12:10 AM |
| Views | 4 |
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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1440
267.7 IPS |
|
|
Image Classification (HP)
|
100% |
1468
273.0 IPS |
|
|
Image Classification (Q)
|
100% |
2402
446.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1664
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2529
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2533
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2414
2.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
5006
5.94 IPS |
|
|
Object Detection (SP)
|
98% |
1093
87.0 IPS |
|
|
Object Detection (HP)
|
98% |
1026
81.6 IPS |
|
|
Object Detection (Q)
|
83% |
1448
117.0 IPS |
|
|
Face Detection (SP)
|
100% |
2191
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
2194
26.1 IPS |
|
|
Face Detection (Q)
|
95% |
3375
40.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1971
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2021
15.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3256
29.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5033
6.53 IPS |
|
|
Style Transfer (HP)
|
89% |
5008
6.50 IPS |
|
|
Style Transfer (Q)
|
98% |
9645
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1000
36.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1000
36.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2360
87.4 IPS |
|
|
Text Classification (SP)
|
100% |
445
593.7 IPS |
|
|
Text Classification (HP)
|
99% |
441
588.4 IPS |
|
|
Text Classification (Q)
|
88% |
662
892.2 IPS |
|
|
Machine Translation (SP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (Q)
|
50% |
463
16.4 IPS |
