Google Pixel 8 Pro
Geekbench AI Score
1700
Single Precision Score
1691
Half Precision Score
3066
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 03:15 AM |
| Views | 1 |
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% |
918
170.7 IPS |
|
|
Image Classification (HP)
|
100% |
820
152.5 IPS |
|
|
Image Classification (Q)
|
100% |
2419
449.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1706
27.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2763
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3277
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
3045
3.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
7039
8.35 IPS |
|
|
Object Detection (SP)
|
98% |
881
70.1 IPS |
|
|
Object Detection (HP)
|
98% |
870
69.2 IPS |
|
|
Object Detection (Q)
|
83% |
2500
201.9 IPS |
|
|
Face Detection (SP)
|
100% |
2033
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
2132
25.3 IPS |
|
|
Face Detection (Q)
|
95% |
5324
63.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2432
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3267
25.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2699
24.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7820
10.2 IPS |
|
|
Style Transfer (HP)
|
89% |
7407
9.62 IPS |
|
|
Style Transfer (Q)
|
98% |
15334
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1535
56.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1620
59.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3738
138.5 IPS |
|
|
Text Classification (SP)
|
100% |
655
874.8 IPS |
|
|
Text Classification (HP)
|
99% |
745
994.9 IPS |
|
|
Text Classification (Q)
|
88% |
1080
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1156
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (Q)
|
50% |
702
24.9 IPS |
