Google Pixel 8 Pro
Geekbench AI Score
647
Single Precision Score
773
Half Precision Score
686
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | JiggaBoom |
| Upload Date | April 06 2025 08:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
271
50.3 IPS |
|
|
Image Classification (HP)
|
100% |
363
67.5 IPS |
|
|
Image Classification (Q)
|
99% |
239
44.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
908
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1062
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
986
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
479
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
669
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
665
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
323
25.6 IPS |
|
|
Object Detection (HP)
|
100% |
424
33.7 IPS |
|
|
Object Detection (Q)
|
83% |
446
36.1 IPS |
|
|
Face Detection (SP)
|
100% |
1338
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
1495
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
1310
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
917
7.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
1140
8.78 IPS |
|
|
Depth Estimation (Q)
|
62% |
909
8.60 IPS |
|
|
Style Transfer (SP)
|
100% |
2510
3.23 IPS |
|
|
Style Transfer (HP)
|
100% |
3343
4.30 IPS |
|
|
Style Transfer (Q)
|
98% |
3292
4.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
492
18.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
583
21.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
560
20.8 IPS |
|
|
Text Classification (SP)
|
100% |
398
531.4 IPS |
|
|
Text Classification (HP)
|
100% |
399
533.0 IPS |
|
|
Text Classification (Q)
|
91% |
614
825.0 IPS |
|
|
Machine Translation (SP)
|
100% |
561
9.66 IPS |
|
|
Machine Translation (HP)
|
100% |
531
9.15 IPS |
|
|
Machine Translation (Q)
|
57% |
246
6.01 IPS |
