Google Pixel 9 Pro
Geekbench AI Score
310
Single Precision Score
4081
Half Precision Score
5765
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 07 2024 07:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
274
51.0 IPS |
|
|
Image Classification (HP)
|
100% |
4373
813.2 IPS |
|
|
Image Classification (Q)
|
99% |
6793
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
320
5.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
8987
145.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17159
279.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
405
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
31953
37.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
63767
74.7 IPS |
|
|
Object Detection (SP)
|
100% |
180
14.3 IPS |
|
|
Object Detection (HP)
|
100% |
4886
387.5 IPS |
|
|
Object Detection (Q)
|
87% |
6213
498.4 IPS |
|
|
Face Detection (SP)
|
100% |
414
4.92 IPS |
|
|
Face Detection (HP)
|
100% |
16112
191.4 IPS |
|
|
Face Detection (Q)
|
97% |
32393
386.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
351
2.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
34291
264.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
37512
345.3 IPS |
|
|
Style Transfer (SP)
|
100% |
465
0.60 IPS |
|
|
Style Transfer (HP)
|
100% |
453
0.58 IPS |
|
|
Style Transfer (Q)
|
27% |
163
3.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
185
6.84 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8927
329.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15721
582.5 IPS |
|
|
Text Classification (SP)
|
100% |
251
335.2 IPS |
|
|
Text Classification (HP)
|
100% |
250
334.3 IPS |
|
|
Text Classification (Q)
|
92% |
1166
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
411
7.09 IPS |
|
|
Machine Translation (HP)
|
100% |
374
6.45 IPS |
|
|
Machine Translation (Q)
|
57% |
242
5.90 IPS |
