Google Pixel 8 Pro
Geekbench AI Score
1144
Single Precision Score
950
Half Precision Score
1715
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | holgr |
| Upload Date | August 15 2024 06:31 PM |
| Views | 3 |
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% |
1440
267.7 IPS |
|
|
Image Classification (HP)
|
100% |
594
110.4 IPS |
|
|
Image Classification (Q)
|
100% |
2631
489.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
682
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
680
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1011
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3095
3.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3022
3.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
6785
8.05 IPS |
|
|
Object Detection (SP)
|
98% |
645
51.4 IPS |
|
|
Object Detection (HP)
|
98% |
638
50.8 IPS |
|
|
Object Detection (Q)
|
87% |
1056
84.8 IPS |
|
|
Face Detection (SP)
|
100% |
1190
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
1194
14.2 IPS |
|
|
Face Detection (Q)
|
95% |
2247
26.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1549
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1422
11.0 IPS |
|
|
Depth Estimation (Q)
|
75% |
2566
20.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3317
4.31 IPS |
|
|
Style Transfer (HP)
|
89% |
3217
4.18 IPS |
|
|
Style Transfer (Q)
|
98% |
5526
7.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1616
59.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
718
26.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1497
55.5 IPS |
|
|
Text Classification (SP)
|
100% |
305
406.6 IPS |
|
|
Text Classification (HP)
|
99% |
303
404.6 IPS |
|
|
Text Classification (Q)
|
88% |
560
755.5 IPS |
|
|
Machine Translation (SP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (Q)
|
50% |
433
15.4 IPS |
