Google Pixel 9 Pro
Geekbench AI Score
2030
Single Precision Score
2055
Half Precision Score
3094
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 09:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| 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% |
1355
251.9 IPS |
|
|
Image Classification (HP)
|
100% |
1513
281.4 IPS |
|
|
Image Classification (Q)
|
100% |
2347
436.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1762
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1746
28.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2427
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3008
3.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
2938
3.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
6432
7.63 IPS |
|
|
Object Detection (SP)
|
98% |
1562
124.3 IPS |
|
|
Object Detection (HP)
|
98% |
1573
125.1 IPS |
|
|
Object Detection (Q)
|
83% |
2195
177.3 IPS |
|
|
Face Detection (SP)
|
100% |
3079
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
3050
36.2 IPS |
|
|
Face Detection (Q)
|
95% |
4945
59.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3226
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3190
24.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4740
43.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7082
9.19 IPS |
|
|
Style Transfer (HP)
|
89% |
7123
9.25 IPS |
|
|
Style Transfer (Q)
|
98% |
13788
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1586
58.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1572
58.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3559
131.9 IPS |
|
|
Text Classification (SP)
|
100% |
681
909.4 IPS |
|
|
Text Classification (HP)
|
99% |
688
918.8 IPS |
|
|
Text Classification (Q)
|
88% |
1155
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1401
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1470
25.3 IPS |
|
|
Machine Translation (Q)
|
50% |
754
26.8 IPS |
