Google Pixel 8 Pro
Geekbench AI Score
900
Single Precision Score
1357
Half Precision Score
991
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 06:02 AM |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
347
64.5 IPS |
|
|
Image Classification (HP)
|
100% |
478
88.9 IPS |
|
|
Image Classification (Q)
|
97% |
256
47.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1784
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4849
5.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
12010
14.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11707
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
492
39.0 IPS |
|
|
Object Detection (HP)
|
99% |
613
48.6 IPS |
|
|
Object Detection (Q)
|
83% |
552
44.6 IPS |
|
|
Face Detection (SP)
|
100% |
2094
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
2609
31.0 IPS |
|
|
Face Detection (Q)
|
96% |
2675
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3269
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5558
42.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4433
42.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7549
9.70 IPS |
|
|
Style Transfer (HP)
|
100% |
19268
24.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18423
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1662
61.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2125
78.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2058
76.3 IPS |
|
|
Text Classification (SP)
|
35% |
16
141.6 IPS |
|
|
Text Classification (HP)
|
35% |
20
185.8 IPS |
|
|
Text Classification (Q)
|
32% |
11
142.5 IPS |
|
|
Machine Translation (SP)
|
100% |
236
4.06 IPS |
|
|
Machine Translation (HP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (Q)
|
43% |
63
3.69 IPS |
