Google Pixel 8 Pro
Geekbench AI Score
921
Single Precision Score
1414
Half Precision Score
1037
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2025 11:33 PM |
| 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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
426
79.2 IPS |
|
|
Image Classification (HP)
|
100% |
451
83.9 IPS |
|
|
Image Classification (Q)
|
97% |
365
68.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1343
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1867
30.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1940
31.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4925
5.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
12029
14.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11669
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
495
39.3 IPS |
|
|
Object Detection (HP)
|
99% |
1068
84.7 IPS |
|
|
Object Detection (Q)
|
83% |
576
46.5 IPS |
|
|
Face Detection (SP)
|
100% |
2100
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2550
30.3 IPS |
|
|
Face Detection (Q)
|
96% |
2441
29.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3295
25.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5655
43.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
4310
40.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7492
9.63 IPS |
|
|
Style Transfer (HP)
|
100% |
19567
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18518
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1684
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2248
83.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2006
74.4 IPS |
|
|
Text Classification (SP)
|
35% |
15
133.8 IPS |
|
|
Text Classification (HP)
|
35% |
17
156.8 IPS |
|
|
Text Classification (Q)
|
32% |
12
152.5 IPS |
|
|
Machine Translation (SP)
|
100% |
241
4.16 IPS |
|
|
Machine Translation (HP)
|
100% |
275
4.73 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.77 IPS |
