Google Pixel 8 Pro
Geekbench AI Score
658
Single Precision Score
758
Half Precision Score
702
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Subarctic9720 |
| Upload Date | March 04 2025 02:47 PM |
| Views | 1 |
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 | 10.96 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
288
53.6 IPS |
|
|
Image Classification (HP)
|
100% |
353
65.6 IPS |
|
|
Image Classification (Q)
|
99% |
231
43.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
886
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
997
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1025
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
668
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
662
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
308
24.4 IPS |
|
|
Object Detection (HP)
|
100% |
404
32.1 IPS |
|
|
Object Detection (Q)
|
83% |
400
32.4 IPS |
|
|
Face Detection (SP)
|
100% |
1408
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
1273
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
1354
16.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
914
7.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
1102
8.49 IPS |
|
|
Depth Estimation (Q)
|
62% |
874
8.27 IPS |
|
|
Style Transfer (SP)
|
100% |
2513
3.23 IPS |
|
|
Style Transfer (HP)
|
100% |
3317
4.26 IPS |
|
|
Style Transfer (Q)
|
98% |
3262
4.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
485
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
574
21.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
538
19.9 IPS |
|
|
Text Classification (SP)
|
100% |
427
570.4 IPS |
|
|
Text Classification (HP)
|
100% |
426
568.7 IPS |
|
|
Text Classification (Q)
|
91% |
628
843.7 IPS |
|
|
Machine Translation (SP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
583
10.0 IPS |
|
|
Machine Translation (Q)
|
57% |
356
8.69 IPS |
