Google Pixel 8 Pro
Geekbench AI Score
1486
Single Precision Score
1399
Half Precision Score
2205
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | xRoach |
| Upload Date | January 05 2025 07:13 AM |
| Views | 2 |
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% |
1376
255.8 IPS |
|
|
Image Classification (HP)
|
100% |
915
170.1 IPS |
|
|
Image Classification (Q)
|
100% |
2099
390.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2323
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2488
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2015
2.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
4526
5.37 IPS |
|
|
Object Detection (SP)
|
98% |
972
77.4 IPS |
|
|
Object Detection (HP)
|
98% |
980
78.0 IPS |
|
|
Object Detection (Q)
|
83% |
1452
117.3 IPS |
|
|
Face Detection (SP)
|
100% |
2153
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
2207
26.2 IPS |
|
|
Face Detection (Q)
|
95% |
3284
39.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1937
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1915
14.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3371
30.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5748
7.46 IPS |
|
|
Style Transfer (HP)
|
89% |
5358
6.96 IPS |
|
|
Style Transfer (Q)
|
98% |
9420
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
992
36.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
975
36.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2386
88.4 IPS |
|
|
Text Classification (SP)
|
100% |
396
528.5 IPS |
|
|
Text Classification (HP)
|
99% |
450
600.8 IPS |
|
|
Text Classification (Q)
|
88% |
704
948.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (Q)
|
50% |
485
17.2 IPS |
