Google Pixel 9 Pro
Geekbench AI Score
2053
Single Precision Score
2065
Half Precision Score
3105
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 05 2025 07:56 AM |
| Views | 2 |
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% |
1561
290.3 IPS |
|
|
Image Classification (HP)
|
100% |
1589
295.4 IPS |
|
|
Image Classification (Q)
|
100% |
2319
431.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1740
28.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2382
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2985
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2935
3.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
6595
7.82 IPS |
|
|
Object Detection (SP)
|
98% |
1448
115.3 IPS |
|
|
Object Detection (HP)
|
98% |
1565
124.5 IPS |
|
|
Object Detection (Q)
|
83% |
2209
178.4 IPS |
|
|
Face Detection (SP)
|
100% |
3057
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
3047
36.2 IPS |
|
|
Face Detection (Q)
|
95% |
4697
56.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3109
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3228
24.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5075
46.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7235
9.39 IPS |
|
|
Style Transfer (HP)
|
89% |
7189
9.33 IPS |
|
|
Style Transfer (Q)
|
98% |
14178
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1592
58.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1534
56.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3543
131.3 IPS |
|
|
Text Classification (SP)
|
100% |
667
890.1 IPS |
|
|
Text Classification (HP)
|
99% |
669
893.5 IPS |
|
|
Text Classification (Q)
|
88% |
1162
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1540
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1530
26.4 IPS |
|
|
Machine Translation (Q)
|
50% |
746
26.5 IPS |
