Google Pixel 8 Pro
Geekbench AI Score
920
Single Precision Score
1314
Half Precision Score
1059
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 28 2025 11:32 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
404
75.2 IPS |
|
|
Image Classification (HP)
|
100% |
434
80.7 IPS |
|
|
Image Classification (Q)
|
97% |
544
101.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1305
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1838
29.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1661
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4918
5.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
12235
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11950
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
530
42.0 IPS |
|
|
Object Detection (HP)
|
99% |
534
42.4 IPS |
|
|
Object Detection (Q)
|
83% |
555
44.8 IPS |
|
|
Face Detection (SP)
|
100% |
2079
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
2390
28.4 IPS |
|
|
Face Detection (Q)
|
96% |
2363
28.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3283
25.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5492
42.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
4461
42.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7513
9.66 IPS |
|
|
Style Transfer (HP)
|
100% |
19457
25.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18546
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1654
61.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2128
78.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1984
73.5 IPS |
|
|
Text Classification (SP)
|
35% |
16
142.6 IPS |
|
|
Text Classification (HP)
|
35% |
20
182.8 IPS |
|
|
Text Classification (Q)
|
32% |
12
161.3 IPS |
|
|
Machine Translation (SP)
|
100% |
233
4.01 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.66 IPS |
|
|
Machine Translation (Q)
|
43% |
64
3.74 IPS |
