Google Pixel 8 Pro
Geekbench AI Score
1483
Single Precision Score
1393
Half Precision Score
2176
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | absyaqoob30 |
| Upload Date | November 18 2024 07:08 AM |
| Views | 3 |
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% |
1357
252.4 IPS |
|
|
Image Classification (HP)
|
100% |
1490
277.0 IPS |
|
|
Image Classification (Q)
|
100% |
2147
399.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1685
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
969
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2455
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2558
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2109
2.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
4560
5.41 IPS |
|
|
Object Detection (SP)
|
98% |
972
77.4 IPS |
|
|
Object Detection (HP)
|
98% |
972
77.3 IPS |
|
|
Object Detection (Q)
|
83% |
1407
113.7 IPS |
|
|
Face Detection (SP)
|
100% |
2129
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
2221
26.4 IPS |
|
|
Face Detection (Q)
|
95% |
3334
39.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2079
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2021
15.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3176
29.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5063
6.57 IPS |
|
|
Style Transfer (HP)
|
89% |
5020
6.52 IPS |
|
|
Style Transfer (Q)
|
98% |
9499
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1009
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
991
36.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2224
82.4 IPS |
|
|
Text Classification (SP)
|
100% |
451
601.9 IPS |
|
|
Text Classification (HP)
|
99% |
441
588.6 IPS |
|
|
Text Classification (Q)
|
88% |
684
922.5 IPS |
|
|
Machine Translation (SP)
|
100% |
891
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
462
16.4 IPS |
