Google Pixel 8 Pro
Geekbench AI Score
896
Single Precision Score
993
Half Precision Score
1445
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 01:56 PM |
| Views | 4 |
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% |
573
106.5 IPS |
|
|
Image Classification (HP)
|
100% |
1385
257.7 IPS |
|
|
Image Classification (Q)
|
100% |
1032
191.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
500
8.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
571
9.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
2101
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2344
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
1501
1.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
2772
3.29 IPS |
|
|
Object Detection (SP)
|
98% |
699
55.6 IPS |
|
|
Object Detection (HP)
|
98% |
689
54.8 IPS |
|
|
Object Detection (Q)
|
83% |
837
67.6 IPS |
|
|
Face Detection (SP)
|
100% |
979
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
1551
18.4 IPS |
|
|
Face Detection (Q)
|
95% |
2476
29.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1579
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1478
11.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
1920
17.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3630
4.71 IPS |
|
|
Style Transfer (HP)
|
89% |
3738
4.85 IPS |
|
|
Style Transfer (Q)
|
98% |
6367
8.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
726
26.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
740
27.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1755
65.0 IPS |
|
|
Text Classification (SP)
|
100% |
281
374.5 IPS |
|
|
Text Classification (HP)
|
99% |
302
403.4 IPS |
|
|
Text Classification (Q)
|
88% |
512
690.7 IPS |
|
|
Machine Translation (SP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
601
10.3 IPS |
|
|
Machine Translation (Q)
|
50% |
292
10.4 IPS |
