Google Pixel 8 Pro
Geekbench AI Score
1046
Single Precision Score
919
Half Precision Score
1904
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 09:37 PM |
| Views | 1 |
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% |
791
147.1 IPS |
|
|
Image Classification (HP)
|
100% |
346
64.3 IPS |
|
|
Image Classification (Q)
|
100% |
2297
427.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
950
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1204
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2672
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2943
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1584
1.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
3725
4.42 IPS |
|
|
Object Detection (SP)
|
98% |
533
42.4 IPS |
|
|
Object Detection (HP)
|
98% |
508
40.4 IPS |
|
|
Object Detection (Q)
|
83% |
881
71.1 IPS |
|
|
Face Detection (SP)
|
100% |
1005
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
1604
19.1 IPS |
|
|
Face Detection (Q)
|
95% |
3364
40.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1927
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1913
14.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3363
30.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4901
6.36 IPS |
|
|
Style Transfer (HP)
|
89% |
4987
6.47 IPS |
|
|
Style Transfer (Q)
|
98% |
6601
8.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
596
22.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
616
22.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1286
47.7 IPS |
|
|
Text Classification (SP)
|
100% |
248
330.4 IPS |
|
|
Text Classification (HP)
|
99% |
256
341.2 IPS |
|
|
Text Classification (Q)
|
88% |
698
941.9 IPS |
|
|
Machine Translation (SP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
533
9.18 IPS |
|
|
Machine Translation (Q)
|
50% |
465
16.5 IPS |
