Google Pixel 8 Pro
Geekbench AI Score
1668
Single Precision Score
1625
Half Precision Score
2565
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | oldnick |
| Upload Date | January 06 2025 09:40 AM |
| Views | 3 |
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% |
1415
263.2 IPS |
|
|
Image Classification (HP)
|
100% |
1418
263.6 IPS |
|
|
Image Classification (Q)
|
100% |
2391
444.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1820
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1783
28.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2717
44.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3010
3.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
2834
3.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
6635
7.87 IPS |
|
|
Object Detection (SP)
|
98% |
1326
105.5 IPS |
|
|
Object Detection (HP)
|
98% |
1339
106.5 IPS |
|
|
Object Detection (Q)
|
83% |
1982
160.1 IPS |
|
|
Face Detection (SP)
|
100% |
2718
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
2486
29.5 IPS |
|
|
Face Detection (Q)
|
95% |
4293
51.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2372
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2301
17.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3872
35.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5382
6.99 IPS |
|
|
Style Transfer (HP)
|
89% |
4950
6.43 IPS |
|
|
Style Transfer (Q)
|
98% |
9506
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1012
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
999
36.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2292
84.9 IPS |
|
|
Text Classification (SP)
|
100% |
440
587.2 IPS |
|
|
Text Classification (HP)
|
99% |
477
637.2 IPS |
|
|
Text Classification (Q)
|
88% |
822
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1055
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
997
17.2 IPS |
|
|
Machine Translation (Q)
|
50% |
486
17.2 IPS |
