Google Pixel 8 Pro
Geekbench AI Score
1362
Single Precision Score
1407
Half Precision Score
1856
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 05:49 AM |
| Views | 1 |
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% |
1365
253.9 IPS |
|
|
Image Classification (HP)
|
100% |
1443
268.4 IPS |
|
|
Image Classification (Q)
|
100% |
1122
208.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1505
24.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2272
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2465
2.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2019
2.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
4430
5.25 IPS |
|
|
Object Detection (SP)
|
98% |
865
68.8 IPS |
|
|
Object Detection (HP)
|
98% |
1001
79.7 IPS |
|
|
Object Detection (Q)
|
83% |
1079
87.1 IPS |
|
|
Face Detection (SP)
|
100% |
1896
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
1731
20.6 IPS |
|
|
Face Detection (Q)
|
95% |
2387
28.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2153
16.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2137
16.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3365
30.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4950
6.43 IPS |
|
|
Style Transfer (HP)
|
89% |
5018
6.51 IPS |
|
|
Style Transfer (Q)
|
98% |
9276
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
906
33.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
836
30.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1806
66.9 IPS |
|
|
Text Classification (SP)
|
100% |
311
414.8 IPS |
|
|
Text Classification (HP)
|
99% |
473
631.7 IPS |
|
|
Text Classification (Q)
|
88% |
636
857.1 IPS |
|
|
Machine Translation (SP)
|
100% |
877
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
945
16.3 IPS |
|
|
Machine Translation (Q)
|
50% |
466
16.6 IPS |
