Google Pixel 8 Pro
Geekbench AI Score
1381
Single Precision Score
1448
Half Precision Score
2240
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 26 2025 04:43 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% |
1008
187.4 IPS |
|
|
Image Classification (HP)
|
100% |
1010
187.8 IPS |
|
|
Image Classification (Q)
|
100% |
2645
491.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1073
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1563
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2818
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2997
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2604
3.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
4476
5.31 IPS |
|
|
Object Detection (SP)
|
98% |
1011
80.4 IPS |
|
|
Object Detection (HP)
|
98% |
1008
80.2 IPS |
|
|
Object Detection (Q)
|
83% |
1308
105.7 IPS |
|
|
Face Detection (SP)
|
100% |
2216
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
2179
25.9 IPS |
|
|
Face Detection (Q)
|
95% |
3336
39.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2083
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2001
15.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3393
31.1 IPS |
|
|
Style Transfer (SP)
|
89% |
4989
6.48 IPS |
|
|
Style Transfer (HP)
|
89% |
4989
6.48 IPS |
|
|
Style Transfer (Q)
|
98% |
9349
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1020
37.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1076
39.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2431
90.1 IPS |
|
|
Text Classification (SP)
|
100% |
317
423.4 IPS |
|
|
Text Classification (HP)
|
99% |
444
592.6 IPS |
|
|
Text Classification (Q)
|
88% |
626
843.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (Q)
|
50% |
454
16.1 IPS |
