Google Pixel 9 Pro
Geekbench AI Score
1203
Single Precision Score
1167
Half Precision Score
1843
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 14 2024 01:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
929
172.8 IPS |
|
|
Image Classification (HP)
|
100% |
975
181.4 IPS |
|
|
Image Classification (Q)
|
100% |
2066
384.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2272
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2479
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1663
1.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
3135
3.72 IPS |
|
|
Object Detection (SP)
|
98% |
609
48.5 IPS |
|
|
Object Detection (HP)
|
98% |
664
52.8 IPS |
|
|
Object Detection (Q)
|
83% |
1571
126.9 IPS |
|
|
Face Detection (SP)
|
100% |
2321
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
2290
27.2 IPS |
|
|
Face Detection (Q)
|
95% |
3563
42.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2394
18.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2252
17.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3338
30.6 IPS |
|
|
Style Transfer (SP)
|
89% |
4161
5.40 IPS |
|
|
Style Transfer (HP)
|
89% |
3713
4.82 IPS |
|
|
Style Transfer (Q)
|
98% |
6941
8.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
693
25.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
709
26.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1615
59.9 IPS |
|
|
Text Classification (SP)
|
100% |
312
416.7 IPS |
|
|
Text Classification (HP)
|
99% |
313
417.9 IPS |
|
|
Text Classification (Q)
|
88% |
495
667.5 IPS |
|
|
Machine Translation (SP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (Q)
|
50% |
297
10.5 IPS |
