Google Pixel 9 Pro
Geekbench AI Score
2046
Single Precision Score
2066
Half Precision Score
3159
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 12:24 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% |
1427
265.4 IPS |
|
|
Image Classification (HP)
|
100% |
1579
293.7 IPS |
|
|
Image Classification (Q)
|
100% |
2341
435.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1740
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1739
28.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2446
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2985
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2984
3.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
6715
7.96 IPS |
|
|
Object Detection (SP)
|
98% |
1437
114.3 IPS |
|
|
Object Detection (HP)
|
98% |
1307
104.0 IPS |
|
|
Object Detection (Q)
|
83% |
1994
161.1 IPS |
|
|
Face Detection (SP)
|
100% |
2919
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
2966
35.2 IPS |
|
|
Face Detection (Q)
|
95% |
4880
58.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3160
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3350
25.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5062
46.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7269
9.44 IPS |
|
|
Style Transfer (HP)
|
89% |
7330
9.51 IPS |
|
|
Style Transfer (Q)
|
98% |
14468
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1630
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1614
59.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3626
134.4 IPS |
|
|
Text Classification (SP)
|
100% |
724
966.3 IPS |
|
|
Text Classification (HP)
|
99% |
730
974.5 IPS |
|
|
Text Classification (Q)
|
88% |
1319
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1530
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1547
26.6 IPS |
|
|
Machine Translation (Q)
|
50% |
757
26.9 IPS |
