Google Pixel 8 Pro
Geekbench AI Score
1065
Single Precision Score
797
Half Precision Score
1602
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | PanisSupraOmnia |
| Upload Date | November 02 2024 09:09 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% |
947
176.2 IPS |
|
|
Image Classification (HP)
|
100% |
595
110.6 IPS |
|
|
Image Classification (Q)
|
100% |
1436
267.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1442
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
456
7.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
1719
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2154
2.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
1773
2.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
4525
5.37 IPS |
|
|
Object Detection (SP)
|
98% |
975
77.6 IPS |
|
|
Object Detection (HP)
|
98% |
490
39.0 IPS |
|
|
Object Detection (Q)
|
83% |
864
69.8 IPS |
|
|
Face Detection (SP)
|
100% |
982
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
1008
12.0 IPS |
|
|
Face Detection (Q)
|
95% |
1715
20.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1254
9.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
1296
10.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
1943
17.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4746
6.16 IPS |
|
|
Style Transfer (HP)
|
89% |
3769
4.89 IPS |
|
|
Style Transfer (Q)
|
98% |
9398
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
952
35.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
599
22.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2369
87.8 IPS |
|
|
Text Classification (SP)
|
100% |
186
248.4 IPS |
|
|
Text Classification (HP)
|
99% |
257
342.5 IPS |
|
|
Text Classification (Q)
|
88% |
452
609.4 IPS |
|
|
Machine Translation (SP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (Q)
|
50% |
345
12.2 IPS |
