Google Pixel 8 Pro
Geekbench AI Score
669
Single Precision Score
788
Half Precision Score
748
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 11:33 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
301
56.1 IPS |
|
|
Image Classification (HP)
|
100% |
377
70.0 IPS |
|
|
Image Classification (Q)
|
99% |
347
64.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
905
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1033
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1009
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
669
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
664
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
324
25.7 IPS |
|
|
Object Detection (HP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (Q)
|
83% |
422
34.1 IPS |
|
|
Face Detection (SP)
|
100% |
1464
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
1386
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
1335
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
911
7.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
1111
8.56 IPS |
|
|
Depth Estimation (Q)
|
62% |
896
8.48 IPS |
|
|
Style Transfer (SP)
|
100% |
2513
3.23 IPS |
|
|
Style Transfer (HP)
|
100% |
3325
4.27 IPS |
|
|
Style Transfer (Q)
|
98% |
3276
4.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
494
18.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
659
24.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
576
21.3 IPS |
|
|
Text Classification (SP)
|
100% |
424
566.6 IPS |
|
|
Text Classification (HP)
|
100% |
428
571.4 IPS |
|
|
Text Classification (Q)
|
91% |
631
847.5 IPS |
|
|
Machine Translation (SP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (Q)
|
57% |
394
9.62 IPS |
