Google Pixel 8 Pro
Geekbench AI Score
1384
Single Precision Score
1548
Half Precision Score
2262
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 28 2025 11:11 PM |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1414
263.0 IPS |
|
|
Image Classification (HP)
|
100% |
1549
288.2 IPS |
|
|
Image Classification (Q)
|
100% |
2643
491.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1779
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1793
29.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2917
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2995
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2776
3.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
5638
6.69 IPS |
|
|
Object Detection (SP)
|
98% |
1077
85.7 IPS |
|
|
Object Detection (HP)
|
98% |
1073
85.4 IPS |
|
|
Object Detection (Q)
|
83% |
1286
103.9 IPS |
|
|
Face Detection (SP)
|
100% |
2182
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
2208
26.2 IPS |
|
|
Face Detection (Q)
|
95% |
3248
38.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1989
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2036
15.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3070
28.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5042
6.55 IPS |
|
|
Style Transfer (HP)
|
89% |
4915
6.38 IPS |
|
|
Style Transfer (Q)
|
98% |
9449
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
951
35.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1007
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2304
85.4 IPS |
|
|
Text Classification (SP)
|
100% |
161
214.4 IPS |
|
|
Text Classification (HP)
|
99% |
462
616.6 IPS |
|
|
Text Classification (Q)
|
88% |
662
893.0 IPS |
|
|
Machine Translation (SP)
|
100% |
949
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
931
16.0 IPS |
|
|
Machine Translation (Q)
|
50% |
438
15.6 IPS |
