Google Pixel 8 Pro
Geekbench AI Score
1827
Single Precision Score
1876
Half Precision Score
3199
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | iKarTehFox |
| Upload Date | November 17 2024 10:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
812
151.0 IPS |
|
|
Image Classification (HP)
|
100% |
949
176.5 IPS |
|
|
Image Classification (Q)
|
100% |
2624
488.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1819
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1797
29.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2593
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3019
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2799
3.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
6473
7.68 IPS |
|
|
Object Detection (SP)
|
98% |
1406
111.9 IPS |
|
|
Object Detection (HP)
|
98% |
1398
111.2 IPS |
|
|
Object Detection (Q)
|
83% |
2438
197.0 IPS |
|
|
Face Detection (SP)
|
100% |
2801
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
3000
35.7 IPS |
|
|
Face Detection (Q)
|
95% |
5290
63.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2666
20.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2708
20.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5105
46.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6910
8.97 IPS |
|
|
Style Transfer (HP)
|
89% |
6612
8.58 IPS |
|
|
Style Transfer (Q)
|
98% |
14039
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1480
54.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1544
57.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3921
145.3 IPS |
|
|
Text Classification (SP)
|
100% |
674
900.2 IPS |
|
|
Text Classification (HP)
|
99% |
753
1.01 KIPS |
|
|
Text Classification (Q)
|
88% |
1096
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1296
22.3 IPS |
|
|
Machine Translation (Q)
|
50% |
643
22.8 IPS |
