Google Pixel 8 Pro
Geekbench AI Score
990
Single Precision Score
853
Half Precision Score
1423
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | crisss1205 |
| Upload Date | August 15 2024 11:01 PM |
| Views | 5 |
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% |
424
78.8 IPS |
|
|
Image Classification (HP)
|
100% |
558
103.8 IPS |
|
|
Image Classification (Q)
|
100% |
850
158.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1507
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
574
9.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
848
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2024
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1884
2.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
4126
4.89 IPS |
|
|
Object Detection (SP)
|
98% |
538
42.8 IPS |
|
|
Object Detection (HP)
|
98% |
396
31.5 IPS |
|
|
Object Detection (Q)
|
87% |
1361
109.3 IPS |
|
|
Face Detection (SP)
|
100% |
987
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
977
11.6 IPS |
|
|
Face Detection (Q)
|
95% |
3200
38.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2110
16.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1829
14.1 IPS |
|
|
Depth Estimation (Q)
|
75% |
2929
23.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2728
3.54 IPS |
|
|
Style Transfer (HP)
|
89% |
3601
4.67 IPS |
|
|
Style Transfer (Q)
|
98% |
5976
7.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
774
28.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
747
27.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1200
44.5 IPS |
|
|
Text Classification (SP)
|
100% |
356
474.7 IPS |
|
|
Text Classification (HP)
|
99% |
242
323.2 IPS |
|
|
Text Classification (Q)
|
88% |
427
576.4 IPS |
|
|
Machine Translation (SP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
738
12.7 IPS |
|
|
Machine Translation (Q)
|
50% |
294
10.4 IPS |
