Google Pixel 8 Pro
Geekbench AI Score
1015
Single Precision Score
1013
Half Precision Score
1792
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Celeria |
| Upload Date | August 18 2024 11:25 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% |
853
158.6 IPS |
|
|
Image Classification (HP)
|
100% |
887
164.9 IPS |
|
|
Image Classification (Q)
|
100% |
1623
301.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
873
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1453
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1501
1.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
1405
1.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
4454
5.28 IPS |
|
|
Object Detection (SP)
|
98% |
905
72.0 IPS |
|
|
Object Detection (HP)
|
98% |
885
70.4 IPS |
|
|
Object Detection (Q)
|
87% |
1198
96.2 IPS |
|
|
Face Detection (SP)
|
100% |
1037
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1112
13.2 IPS |
|
|
Face Detection (Q)
|
95% |
3345
39.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1327
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1258
9.72 IPS |
|
|
Depth Estimation (Q)
|
75% |
3533
28.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3853
5.00 IPS |
|
|
Style Transfer (HP)
|
89% |
3381
4.39 IPS |
|
|
Style Transfer (Q)
|
98% |
4712
6.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
926
34.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
776
28.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1319
48.9 IPS |
|
|
Text Classification (SP)
|
100% |
216
288.7 IPS |
|
|
Text Classification (HP)
|
99% |
277
370.1 IPS |
|
|
Text Classification (Q)
|
88% |
668
900.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1086
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1093
18.8 IPS |
|
|
Machine Translation (Q)
|
50% |
555
19.7 IPS |
