Google Pixel 8 Pro
Geekbench AI Score
2108
Single Precision Score
2092
Half Precision Score
3389
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 25 2025 03:05 AM |
| Views | 3 |
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 | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1546
287.5 IPS |
|
|
Image Classification (HP)
|
100% |
1663
309.3 IPS |
|
|
Image Classification (Q)
|
100% |
2617
486.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1826
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1813
29.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2906
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3251
3.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2984
3.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
7189
8.53 IPS |
|
|
Object Detection (SP)
|
98% |
1535
122.2 IPS |
|
|
Object Detection (HP)
|
98% |
1555
123.7 IPS |
|
|
Object Detection (Q)
|
83% |
2193
177.1 IPS |
|
|
Face Detection (SP)
|
100% |
3138
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
3140
37.3 IPS |
|
|
Face Detection (Q)
|
95% |
5672
67.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3101
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3065
23.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5680
52.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7409
9.62 IPS |
|
|
Style Transfer (HP)
|
89% |
7239
9.40 IPS |
|
|
Style Transfer (Q)
|
98% |
15446
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1637
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1654
61.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3999
148.2 IPS |
|
|
Text Classification (SP)
|
100% |
753
1.00 KIPS |
|
|
Text Classification (HP)
|
99% |
754
1.01 KIPS |
|
|
Text Classification (Q)
|
88% |
1231
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1388
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1325
22.8 IPS |
|
|
Machine Translation (Q)
|
50% |
682
24.2 IPS |
