Google Pixel 8 Pro
Geekbench AI Score
846
Single Precision Score
1260
Half Precision Score
879
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | altayhamilton |
| Upload Date | August 24 2025 07:01 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
394
73.3 IPS |
|
|
Image Classification (HP)
|
100% |
462
85.9 IPS |
|
|
Image Classification (Q)
|
97% |
268
50.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1789
29.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1597
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4768
5.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
11552
13.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
10727
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
432
34.2 IPS |
|
|
Object Detection (HP)
|
99% |
417
33.1 IPS |
|
|
Object Detection (Q)
|
83% |
465
37.6 IPS |
|
|
Face Detection (SP)
|
100% |
1977
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
2422
28.8 IPS |
|
|
Face Detection (Q)
|
96% |
2001
23.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3087
23.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5192
40.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
4083
38.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7326
9.42 IPS |
|
|
Style Transfer (HP)
|
100% |
18494
23.8 IPS |
|
|
Style Transfer (Q)
|
98% |
16409
21.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1178
43.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2013
74.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1308
48.5 IPS |
|
|
Text Classification (SP)
|
35% |
14
129.3 IPS |
|
|
Text Classification (HP)
|
35% |
19
169.9 IPS |
|
|
Text Classification (Q)
|
32% |
11
145.4 IPS |
|
|
Machine Translation (SP)
|
100% |
238
4.10 IPS |
|
|
Machine Translation (HP)
|
100% |
285
4.91 IPS |
|
|
Machine Translation (Q)
|
43% |
67
3.89 IPS |
