Google Pixel 8 Pro
Geekbench AI Score
1541
Single Precision Score
1526
Half Precision Score
2469
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 13 2025 06:31 AM |
| Views | 9 |
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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
896
166.7 IPS |
|
|
Image Classification (HP)
|
100% |
1156
214.9 IPS |
|
|
Image Classification (Q)
|
100% |
2386
443.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1583
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1657
26.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2782
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2702
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2451
2.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
6072
7.20 IPS |
|
|
Object Detection (SP)
|
98% |
1301
103.6 IPS |
|
|
Object Detection (HP)
|
98% |
1219
97.0 IPS |
|
|
Object Detection (Q)
|
83% |
2189
176.8 IPS |
|
|
Face Detection (SP)
|
100% |
2864
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
2850
33.9 IPS |
|
|
Face Detection (Q)
|
95% |
4322
51.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2704
20.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2306
17.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3224
29.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5263
6.83 IPS |
|
|
Style Transfer (HP)
|
89% |
4961
6.44 IPS |
|
|
Style Transfer (Q)
|
98% |
9642
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
943
34.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
965
35.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2357
87.3 IPS |
|
|
Text Classification (SP)
|
100% |
444
593.1 IPS |
|
|
Text Classification (HP)
|
99% |
433
578.0 IPS |
|
|
Text Classification (Q)
|
88% |
699
942.7 IPS |
|
|
Machine Translation (SP)
|
100% |
892
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
883
15.2 IPS |
|
|
Machine Translation (Q)
|
50% |
432
15.3 IPS |
