Google Pixel 8 Pro
Geekbench AI Score
884
Single Precision Score
1296
Half Precision Score
987
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 06 2025 05:09 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% |
404
75.0 IPS |
|
|
Image Classification (HP)
|
100% |
546
101.6 IPS |
|
|
Image Classification (Q)
|
97% |
372
69.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1252
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1482
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4892
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
12175
14.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11939
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (HP)
|
99% |
530
42.0 IPS |
|
|
Object Detection (Q)
|
83% |
571
46.1 IPS |
|
|
Face Detection (SP)
|
100% |
1879
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
1678
19.9 IPS |
|
|
Face Detection (Q)
|
96% |
2178
26.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3247
25.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5398
41.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
4290
40.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7467
9.60 IPS |
|
|
Style Transfer (HP)
|
100% |
19819
25.5 IPS |
|
|
Style Transfer (Q)
|
98% |
18401
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1660
61.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2122
78.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1979
73.3 IPS |
|
|
Text Classification (SP)
|
35% |
14
130.2 IPS |
|
|
Text Classification (HP)
|
35% |
17
154.8 IPS |
|
|
Text Classification (Q)
|
32% |
11
141.8 IPS |
|
|
Machine Translation (SP)
|
100% |
219
3.77 IPS |
|
|
Machine Translation (HP)
|
100% |
273
4.70 IPS |
|
|
Machine Translation (Q)
|
43% |
63
3.69 IPS |
