Google Pixel 8 Pro
Geekbench AI Score
1000
Single Precision Score
1470
Half Precision Score
1110
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 16 2025 04:30 AM |
| Views | 1 |
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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
471
87.5 IPS |
|
|
Image Classification (HP)
|
100% |
494
91.9 IPS |
|
|
Image Classification (Q)
|
97% |
436
81.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2134
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4931
5.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
12037
14.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11718
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
500
39.6 IPS |
|
|
Object Detection (HP)
|
99% |
873
69.3 IPS |
|
|
Object Detection (Q)
|
83% |
582
47.0 IPS |
|
|
Face Detection (SP)
|
100% |
2422
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
2899
34.4 IPS |
|
|
Face Detection (Q)
|
96% |
2574
30.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3325
25.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5695
44.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
4396
41.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7472
9.61 IPS |
|
|
Style Transfer (HP)
|
100% |
19553
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18545
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1675
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2241
82.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2121
78.6 IPS |
|
|
Text Classification (SP)
|
35% |
25
223.3 IPS |
|
|
Text Classification (HP)
|
35% |
22
199.9 IPS |
|
|
Text Classification (Q)
|
32% |
14
175.7 IPS |
|
|
Machine Translation (SP)
|
100% |
267
4.61 IPS |
|
|
Machine Translation (HP)
|
100% |
360
6.20 IPS |
|
|
Machine Translation (Q)
|
43% |
72
4.16 IPS |
