Google Pixel 8 Pro
Geekbench AI Score
653
Single Precision Score
782
Half Precision Score
748
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | iKarTehFox |
| Upload Date | November 17 2024 11:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
261
48.5 IPS |
|
|
Image Classification (HP)
|
100% |
383
71.3 IPS |
|
|
Image Classification (Q)
|
99% |
336
62.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
950
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1109
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1076
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
670
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
663
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
326
25.8 IPS |
|
|
Object Detection (HP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (Q)
|
83% |
426
34.4 IPS |
|
|
Face Detection (SP)
|
100% |
1231
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
1376
16.3 IPS |
|
|
Face Detection (Q)
|
97% |
1238
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
901
6.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
1121
8.64 IPS |
|
|
Depth Estimation (Q)
|
62% |
903
8.55 IPS |
|
|
Style Transfer (SP)
|
100% |
2521
3.24 IPS |
|
|
Style Transfer (HP)
|
100% |
3343
4.30 IPS |
|
|
Style Transfer (Q)
|
98% |
3348
4.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
512
18.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
587
21.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
574
21.3 IPS |
|
|
Text Classification (SP)
|
100% |
421
562.4 IPS |
|
|
Text Classification (HP)
|
100% |
421
561.5 IPS |
|
|
Text Classification (Q)
|
91% |
624
838.6 IPS |
|
|
Machine Translation (SP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (Q)
|
57% |
402
9.82 IPS |
