Google Pixel 8 Pro
Geekbench AI Score
936
Single Precision Score
1348
Half Precision Score
1033
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2025 11:59 PM |
| Views | 6 |
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% |
427
79.4 IPS |
|
|
Image Classification (HP)
|
100% |
449
83.5 IPS |
|
|
Image Classification (Q)
|
97% |
364
68.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1841
29.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1827
29.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4897
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
11859
13.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11616
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
489
38.8 IPS |
|
|
Object Detection (HP)
|
99% |
627
49.7 IPS |
|
|
Object Detection (Q)
|
83% |
592
47.8 IPS |
|
|
Face Detection (SP)
|
100% |
2092
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
2635
31.3 IPS |
|
|
Face Detection (Q)
|
96% |
2384
28.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3313
25.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5600
43.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
4392
41.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7402
9.52 IPS |
|
|
Style Transfer (HP)
|
100% |
19427
25.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18294
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1644
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2166
80.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2025
75.0 IPS |
|
|
Text Classification (SP)
|
35% |
16
141.8 IPS |
|
|
Text Classification (HP)
|
35% |
17
157.5 IPS |
|
|
Text Classification (Q)
|
32% |
12
154.1 IPS |
|
|
Machine Translation (SP)
|
100% |
295
5.08 IPS |
|
|
Machine Translation (HP)
|
100% |
306
5.27 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.79 IPS |
