Google Pixel 8 Pro
Geekbench AI Score
669
Single Precision Score
785
Half Precision Score
735
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | JiggaBoom |
| Upload Date | February 26 2025 09:50 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 | 11.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
351
65.3 IPS |
|
|
Image Classification (HP)
|
100% |
398
73.9 IPS |
|
|
Image Classification (Q)
|
99% |
390
72.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
899
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1046
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1026
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
479
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
671
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
663
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
328
26.0 IPS |
|
|
Object Detection (HP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (Q)
|
83% |
430
34.8 IPS |
|
|
Face Detection (SP)
|
100% |
1221
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1344
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
1159
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
908
6.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
1114
8.59 IPS |
|
|
Depth Estimation (Q)
|
62% |
906
8.57 IPS |
|
|
Style Transfer (SP)
|
100% |
2521
3.24 IPS |
|
|
Style Transfer (HP)
|
100% |
3344
4.30 IPS |
|
|
Style Transfer (Q)
|
98% |
3290
4.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
501
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
592
21.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
563
20.9 IPS |
|
|
Text Classification (SP)
|
100% |
427
570.1 IPS |
|
|
Text Classification (HP)
|
100% |
433
578.3 IPS |
|
|
Text Classification (Q)
|
91% |
630
847.0 IPS |
|
|
Machine Translation (SP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (Q)
|
57% |
331
8.08 IPS |
