Google Pixel 9 Pro
Geekbench AI Score
2044
Single Precision Score
2063
Half Precision Score
3133
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 07 2025 06:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 9 Pro |
| Model ID | Google Pixel 9 Pro |
| Motherboard | caiman |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 15.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1573
292.5 IPS |
|
|
Image Classification (HP)
|
100% |
1581
293.9 IPS |
|
|
Image Classification (Q)
|
100% |
2439
453.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1757
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2466
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2937
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2909
3.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
6461
7.66 IPS |
|
|
Object Detection (SP)
|
98% |
1437
114.3 IPS |
|
|
Object Detection (HP)
|
98% |
1536
122.2 IPS |
|
|
Object Detection (Q)
|
83% |
2196
177.4 IPS |
|
|
Face Detection (SP)
|
100% |
2875
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
3031
36.0 IPS |
|
|
Face Detection (Q)
|
95% |
4860
58.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3201
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3142
24.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5033
46.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7023
9.12 IPS |
|
|
Style Transfer (HP)
|
89% |
7054
9.16 IPS |
|
|
Style Transfer (Q)
|
98% |
13817
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1600
59.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1608
59.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3504
129.8 IPS |
|
|
Text Classification (SP)
|
100% |
670
894.1 IPS |
|
|
Text Classification (HP)
|
99% |
720
960.4 IPS |
|
|
Text Classification (Q)
|
88% |
1258
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1581
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1472
25.4 IPS |
|
|
Machine Translation (Q)
|
50% |
717
25.5 IPS |
