Google Pixel 8 Pro
Geekbench AI Score
1758
Single Precision Score
1772
Half Precision Score
3241
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 23 2025 10:04 PM |
| Views | 2 |
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% |
1003
186.5 IPS |
|
|
Image Classification (HP)
|
100% |
1045
194.2 IPS |
|
|
Image Classification (Q)
|
100% |
2462
457.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1019
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1058
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2318
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2997
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2917
3.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
6909
8.19 IPS |
|
|
Object Detection (SP)
|
98% |
1331
105.9 IPS |
|
|
Object Detection (HP)
|
98% |
1362
108.4 IPS |
|
|
Object Detection (Q)
|
83% |
2398
193.7 IPS |
|
|
Face Detection (SP)
|
100% |
2400
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
2178
25.9 IPS |
|
|
Face Detection (Q)
|
95% |
5636
67.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2969
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3046
23.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5402
49.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7207
9.36 IPS |
|
|
Style Transfer (HP)
|
89% |
7038
9.14 IPS |
|
|
Style Transfer (Q)
|
98% |
14624
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1532
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1566
57.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3760
139.3 IPS |
|
|
Text Classification (SP)
|
100% |
752
1.00 KIPS |
|
|
Text Classification (HP)
|
99% |
744
993.6 IPS |
|
|
Text Classification (Q)
|
88% |
1208
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1283
22.1 IPS |
|
|
Machine Translation (Q)
|
50% |
670
23.8 IPS |
