Google Pixel 8 Pro
Geekbench AI Score
1626
Single Precision Score
1728
Half Precision Score
2672
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 09:25 PM |
| Views | 1 |
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% |
1254
233.2 IPS |
|
|
Image Classification (HP)
|
100% |
1334
248.1 IPS |
|
|
Image Classification (Q)
|
100% |
2547
473.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1689
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1707
27.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2907
47.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3021
3.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
2834
3.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
6753
8.01 IPS |
|
|
Object Detection (SP)
|
98% |
1376
109.5 IPS |
|
|
Object Detection (HP)
|
98% |
1380
109.8 IPS |
|
|
Object Detection (Q)
|
83% |
2410
194.7 IPS |
|
|
Face Detection (SP)
|
100% |
3053
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
3052
36.3 IPS |
|
|
Face Detection (Q)
|
95% |
5276
63.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2750
21.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2862
22.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5020
46.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6690
8.68 IPS |
|
|
Style Transfer (HP)
|
89% |
6419
8.33 IPS |
|
|
Style Transfer (Q)
|
98% |
10368
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1060
39.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1052
38.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2295
85.0 IPS |
|
|
Text Classification (SP)
|
100% |
234
312.0 IPS |
|
|
Text Classification (HP)
|
99% |
448
598.2 IPS |
|
|
Text Classification (Q)
|
88% |
519
700.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1054
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (Q)
|
50% |
472
16.8 IPS |
