Google Pixel 8 Pro
Geekbench AI Score
919
Single Precision Score
1357
Half Precision Score
1034
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | xRoach |
| Upload Date | August 23 2025 08:53 PM |
| Views | 5 |
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 | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
393
73.0 IPS |
|
|
Image Classification (HP)
|
100% |
445
82.7 IPS |
|
|
Image Classification (Q)
|
97% |
395
73.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1908
31.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4885
5.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
12333
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11768
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
517
41.0 IPS |
|
|
Object Detection (HP)
|
99% |
570
45.2 IPS |
|
|
Object Detection (Q)
|
83% |
580
46.9 IPS |
|
|
Face Detection (SP)
|
100% |
2174
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
2668
31.7 IPS |
|
|
Face Detection (Q)
|
96% |
2318
27.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3290
25.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5428
41.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4468
42.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7490
9.63 IPS |
|
|
Style Transfer (HP)
|
100% |
19706
25.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18455
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1681
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2105
77.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1995
73.9 IPS |
|
|
Text Classification (SP)
|
35% |
16
143.7 IPS |
|
|
Text Classification (HP)
|
35% |
20
179.4 IPS |
|
|
Text Classification (Q)
|
32% |
11
144.9 IPS |
|
|
Machine Translation (SP)
|
100% |
226
3.89 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.95 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.78 IPS |
