Google Pixel 8 Pro
Geekbench AI Score
390
Single Precision Score
4314
Half Precision Score
7774
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 09:33 PM |
| Views | 1 |
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% |
270
50.2 IPS |
|
|
Image Classification (HP)
|
100% |
5822
1.08 KIPS |
|
|
Image Classification (Q)
|
99% |
7818
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
352
5.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
7928
128.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
15814
257.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
426
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
30943
36.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
62113
72.7 IPS |
|
|
Object Detection (SP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (HP)
|
100% |
4573
362.7 IPS |
|
|
Object Detection (Q)
|
87% |
5685
456.0 IPS |
|
|
Face Detection (SP)
|
100% |
575
6.83 IPS |
|
|
Face Detection (HP)
|
100% |
12945
153.8 IPS |
|
|
Face Detection (Q)
|
97% |
23366
278.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
500
3.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
29566
227.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
34966
321.9 IPS |
|
|
Style Transfer (SP)
|
100% |
715
0.92 IPS |
|
|
Style Transfer (HP)
|
100% |
689
0.89 IPS |
|
|
Style Transfer (Q)
|
73% |
2807
3.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
266
9.83 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8510
314.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14671
543.6 IPS |
|
|
Text Classification (SP)
|
100% |
336
448.7 IPS |
|
|
Text Classification (HP)
|
100% |
337
449.4 IPS |
|
|
Text Classification (Q)
|
92% |
1717
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
516
8.88 IPS |
|
|
Machine Translation (HP)
|
100% |
453
7.80 IPS |
|
|
Machine Translation (Q)
|
57% |
320
7.82 IPS |
