Google Pixel 8 Pro
Geekbench AI Score
1418
Single Precision Score
1415
Half Precision Score
2336
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 07:04 AM |
| Views | 1 |
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% |
784
145.7 IPS |
|
|
Image Classification (HP)
|
100% |
830
154.3 IPS |
|
|
Image Classification (Q)
|
100% |
2388
444.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1223
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1293
21.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2765
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3104
3.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2876
3.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
5740
6.81 IPS |
|
|
Object Detection (SP)
|
98% |
993
79.0 IPS |
|
|
Object Detection (HP)
|
98% |
996
79.3 IPS |
|
|
Object Detection (Q)
|
83% |
1453
117.4 IPS |
|
|
Face Detection (SP)
|
100% |
2217
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
2295
27.3 IPS |
|
|
Face Detection (Q)
|
95% |
3343
39.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2038
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1991
15.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3408
31.2 IPS |
|
|
Style Transfer (SP)
|
89% |
5042
6.54 IPS |
|
|
Style Transfer (HP)
|
89% |
4947
6.42 IPS |
|
|
Style Transfer (Q)
|
98% |
9573
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1025
37.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1013
37.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2404
89.1 IPS |
|
|
Text Classification (SP)
|
100% |
452
603.7 IPS |
|
|
Text Classification (HP)
|
99% |
454
606.4 IPS |
|
|
Text Classification (Q)
|
88% |
761
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1055
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1007
17.3 IPS |
|
|
Machine Translation (Q)
|
50% |
441
15.7 IPS |
