Google Pixel 8 Pro
Geekbench AI Score
980
Single Precision Score
1089
Half Precision Score
1869
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | DhruvGupta12345 |
| Upload Date | October 22 2024 05:25 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% |
575
106.9 IPS |
|
|
Image Classification (HP)
|
100% |
807
150.0 IPS |
|
|
Image Classification (Q)
|
100% |
2382
443.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
607
9.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
620
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2793
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1677
1.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2021
2.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
3018
3.58 IPS |
|
|
Object Detection (SP)
|
98% |
530
42.2 IPS |
|
|
Object Detection (HP)
|
98% |
1069
85.1 IPS |
|
|
Object Detection (Q)
|
83% |
1453
117.4 IPS |
|
|
Face Detection (SP)
|
100% |
2201
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
2201
26.1 IPS |
|
|
Face Detection (Q)
|
95% |
1937
23.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
1276
9.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
1326
10.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
1751
16.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2795
3.63 IPS |
|
|
Style Transfer (HP)
|
89% |
2816
3.66 IPS |
|
|
Style Transfer (Q)
|
98% |
9492
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1018
37.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
965
35.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2309
85.6 IPS |
|
|
Text Classification (SP)
|
100% |
445
593.9 IPS |
|
|
Text Classification (HP)
|
99% |
410
547.2 IPS |
|
|
Text Classification (Q)
|
88% |
742
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (Q)
|
50% |
324
11.5 IPS |
