Google Pixel 8 Pro
Geekbench AI Score
2046
Single Precision Score
2010
Half Precision Score
3265
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 03 2025 12:49 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1537
285.8 IPS |
|
|
Image Classification (HP)
|
100% |
1566
291.3 IPS |
|
|
Image Classification (Q)
|
100% |
2513
467.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1799
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1781
28.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2773
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3133
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2940
3.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
6977
8.27 IPS |
|
|
Object Detection (SP)
|
98% |
1432
114.0 IPS |
|
|
Object Detection (HP)
|
98% |
1570
125.0 IPS |
|
|
Object Detection (Q)
|
83% |
2227
179.9 IPS |
|
|
Face Detection (SP)
|
100% |
3079
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
2968
35.3 IPS |
|
|
Face Detection (Q)
|
95% |
5681
67.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3041
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2837
21.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5102
46.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7244
9.40 IPS |
|
|
Style Transfer (HP)
|
89% |
7080
9.19 IPS |
|
|
Style Transfer (Q)
|
98% |
15004
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1525
56.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1532
56.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3927
145.5 IPS |
|
|
Text Classification (SP)
|
100% |
749
1.00 KIPS |
|
|
Text Classification (HP)
|
99% |
701
936.3 IPS |
|
|
Text Classification (Q)
|
88% |
1116
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1339
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1308
22.5 IPS |
|
|
Machine Translation (Q)
|
50% |
669
23.8 IPS |
