Google Pixel 9 Pro
Geekbench AI Score
1446
Single Precision Score
1469
Half Precision Score
2127
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 12:59 AM |
| 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% |
1084
201.6 IPS |
|
|
Image Classification (HP)
|
100% |
1153
214.4 IPS |
|
|
Image Classification (Q)
|
100% |
1883
350.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1923
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2445
2.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2362
2.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
3791
4.50 IPS |
|
|
Object Detection (SP)
|
98% |
915
72.8 IPS |
|
|
Object Detection (HP)
|
98% |
1020
81.2 IPS |
|
|
Object Detection (Q)
|
83% |
1380
111.5 IPS |
|
|
Face Detection (SP)
|
100% |
2222
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
2183
25.9 IPS |
|
|
Face Detection (Q)
|
95% |
3350
40.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2038
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2003
15.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3281
30.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5134
6.67 IPS |
|
|
Style Transfer (HP)
|
89% |
5137
6.67 IPS |
|
|
Style Transfer (Q)
|
98% |
9728
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1066
39.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1129
41.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2425
89.8 IPS |
|
|
Text Classification (SP)
|
100% |
449
598.9 IPS |
|
|
Text Classification (HP)
|
99% |
466
622.4 IPS |
|
|
Text Classification (Q)
|
88% |
774
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (Q)
|
50% |
500
17.7 IPS |
