Google Pixel 8 Pro
Geekbench AI Score
1553
Single Precision Score
1523
Half Precision Score
2429
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | altayhamilton |
| Upload Date | August 24 2025 06:56 AM |
| Views | 10 |
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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1362
253.2 IPS |
|
|
Image Classification (HP)
|
100% |
1352
251.5 IPS |
|
|
Image Classification (Q)
|
100% |
2220
412.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1508
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1509
24.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2330
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2036
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1673
1.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
4489
5.32 IPS |
|
|
Object Detection (SP)
|
98% |
905
72.0 IPS |
|
|
Object Detection (HP)
|
98% |
971
77.3 IPS |
|
|
Object Detection (Q)
|
83% |
1430
115.5 IPS |
|
|
Face Detection (SP)
|
100% |
2162
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
2133
25.3 IPS |
|
|
Face Detection (Q)
|
95% |
3323
39.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2024
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2043
15.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3314
30.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4986
6.47 IPS |
|
|
Style Transfer (HP)
|
89% |
4972
6.45 IPS |
|
|
Style Transfer (Q)
|
98% |
10385
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1136
41.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1026
37.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2370
87.8 IPS |
|
|
Text Classification (SP)
|
100% |
694
926.1 IPS |
|
|
Text Classification (HP)
|
99% |
749
1.00 KIPS |
|
|
Text Classification (Q)
|
88% |
1238
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1258
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1222
21.0 IPS |
|
|
Machine Translation (Q)
|
50% |
642
22.8 IPS |
