Google Pixel 8 Pro
Geekbench AI Score
1558
Single Precision Score
1541
Half Precision Score
3115
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | szabolcsmate |
| Upload Date | January 23 2025 09:03 PM |
| Views | 6 |
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 | 11.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
868
161.4 IPS |
|
|
Image Classification (HP)
|
100% |
972
180.8 IPS |
|
|
Image Classification (Q)
|
100% |
2622
487.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1712
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1109
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2762
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1768
2.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2550
2.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
7654
9.08 IPS |
|
|
Object Detection (SP)
|
98% |
1483
118.0 IPS |
|
|
Object Detection (HP)
|
98% |
820
65.2 IPS |
|
|
Object Detection (Q)
|
83% |
2065
166.8 IPS |
|
|
Face Detection (SP)
|
100% |
1920
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (Q)
|
95% |
5735
68.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1732
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1799
13.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2943
27.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6794
8.82 IPS |
|
|
Style Transfer (HP)
|
89% |
5822
7.56 IPS |
|
|
Style Transfer (Q)
|
98% |
12771
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1689
62.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1599
59.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4014
148.8 IPS |
|
|
Text Classification (SP)
|
100% |
707
943.3 IPS |
|
|
Text Classification (HP)
|
99% |
791
1.06 KIPS |
|
|
Text Classification (Q)
|
88% |
1152
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
833
14.4 IPS |
|
|
Machine Translation (Q)
|
50% |
754
26.8 IPS |
