Google Pixel 8 Pro
Geekbench AI Score
1136
Single Precision Score
1036
Half Precision Score
1629
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Celeria |
| Upload Date | August 18 2024 10:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
760
141.3 IPS |
|
|
Image Classification (HP)
|
100% |
563
104.7 IPS |
|
|
Image Classification (Q)
|
100% |
1011
188.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1660
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1698
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
982
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1344
1.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
1508
1.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
4539
5.38 IPS |
|
|
Object Detection (SP)
|
98% |
861
68.5 IPS |
|
|
Object Detection (HP)
|
98% |
906
72.1 IPS |
|
|
Object Detection (Q)
|
87% |
1461
117.3 IPS |
|
|
Face Detection (SP)
|
100% |
2107
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2152
25.6 IPS |
|
|
Face Detection (Q)
|
95% |
1748
20.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1133
8.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
1142
8.82 IPS |
|
|
Depth Estimation (Q)
|
75% |
3703
30.0 IPS |
|
|
Style Transfer (SP)
|
89% |
4968
6.45 IPS |
|
|
Style Transfer (HP)
|
89% |
3376
4.38 IPS |
|
|
Style Transfer (Q)
|
98% |
9328
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
967
35.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
920
34.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1845
68.4 IPS |
|
|
Text Classification (SP)
|
100% |
266
355.3 IPS |
|
|
Text Classification (HP)
|
99% |
213
284.8 IPS |
|
|
Text Classification (Q)
|
88% |
609
821.7 IPS |
|
|
Machine Translation (SP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
673
11.6 IPS |
|
|
Machine Translation (Q)
|
50% |
295
10.5 IPS |
