Google Pixel 8 Pro
Geekbench AI Score
1373
Single Precision Score
1302
Half Precision Score
1783
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | gxhfmsq78 |
| Upload Date | August 29 2024 10:58 AM |
| Views | 6 |
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% |
1238
230.3 IPS |
|
|
Image Classification (HP)
|
100% |
1239
230.4 IPS |
|
|
Image Classification (Q)
|
100% |
2101
390.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1385
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1360
22.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
855
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1922
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2025
2.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
3963
4.70 IPS |
|
|
Object Detection (SP)
|
98% |
994
79.1 IPS |
|
|
Object Detection (HP)
|
98% |
991
78.8 IPS |
|
|
Object Detection (Q)
|
87% |
813
65.3 IPS |
|
|
Face Detection (SP)
|
100% |
2171
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
2192
26.0 IPS |
|
|
Face Detection (Q)
|
95% |
3439
41.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2028
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1951
15.1 IPS |
|
|
Depth Estimation (Q)
|
75% |
3551
28.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4702
6.10 IPS |
|
|
Style Transfer (HP)
|
89% |
4835
6.28 IPS |
|
|
Style Transfer (Q)
|
98% |
9029
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
886
32.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
832
30.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2331
86.4 IPS |
|
|
Text Classification (SP)
|
100% |
439
586.1 IPS |
|
|
Text Classification (HP)
|
99% |
291
387.8 IPS |
|
|
Text Classification (Q)
|
88% |
606
817.3 IPS |
|
|
Machine Translation (SP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
833
14.3 IPS |
|
|
Machine Translation (Q)
|
50% |
362
12.8 IPS |
