Google Pixel 9 Pro
Geekbench AI Score
390
Single Precision Score
4482
Half Precision Score
6002
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 05:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
267
49.6 IPS |
|
|
Image Classification (HP)
|
100% |
5464
1.02 KIPS |
|
|
Image Classification (Q)
|
99% |
6266
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
331
5.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
8409
136.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
16696
271.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
428
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
31590
36.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
63981
74.9 IPS |
|
|
Object Detection (SP)
|
100% |
255
20.3 IPS |
|
|
Object Detection (HP)
|
100% |
4085
324.0 IPS |
|
|
Object Detection (Q)
|
87% |
5970
478.9 IPS |
|
|
Face Detection (SP)
|
100% |
596
7.08 IPS |
|
|
Face Detection (HP)
|
100% |
15641
185.8 IPS |
|
|
Face Detection (Q)
|
97% |
32826
391.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
523
4.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
30812
237.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
35660
328.3 IPS |
|
|
Style Transfer (SP)
|
100% |
816
1.05 IPS |
|
|
Style Transfer (HP)
|
100% |
777
1.00 IPS |
|
|
Style Transfer (Q)
|
27% |
212
4.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
226
8.33 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9174
338.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16196
600.2 IPS |
|
|
Text Classification (SP)
|
100% |
302
403.1 IPS |
|
|
Text Classification (HP)
|
100% |
325
434.3 IPS |
|
|
Text Classification (Q)
|
92% |
1106
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (HP)
|
100% |
495
8.52 IPS |
|
|
Machine Translation (Q)
|
57% |
342
8.37 IPS |
