Google Pixel 8 Pro
Geekbench AI Score
947
Single Precision Score
1433
Half Precision Score
1201
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 06:44 PM |
| Views | 4 |
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% |
449
83.5 IPS |
|
|
Image Classification (HP)
|
100% |
684
127.1 IPS |
|
|
Image Classification (Q)
|
97% |
703
131.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1710
27.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1666
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4970
5.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
12278
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11381
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
530
42.1 IPS |
|
|
Object Detection (HP)
|
99% |
537
42.6 IPS |
|
|
Object Detection (Q)
|
83% |
812
65.6 IPS |
|
|
Face Detection (SP)
|
100% |
2297
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
2312
27.5 IPS |
|
|
Face Detection (Q)
|
96% |
2440
29.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3291
25.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5381
41.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
4272
40.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7524
9.67 IPS |
|
|
Style Transfer (HP)
|
100% |
20074
25.8 IPS |
|
|
Style Transfer (Q)
|
98% |
17809
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1635
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2132
78.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2235
82.8 IPS |
|
|
Text Classification (SP)
|
35% |
15
138.5 IPS |
|
|
Text Classification (HP)
|
35% |
23
206.9 IPS |
|
|
Text Classification (Q)
|
32% |
14
184.7 IPS |
|
|
Machine Translation (SP)
|
100% |
249
4.30 IPS |
|
|
Machine Translation (HP)
|
100% |
388
6.69 IPS |
|
|
Machine Translation (Q)
|
43% |
100
5.83 IPS |
