Google Pixel 9
Geekbench AI Score
1399
Single Precision Score
1367
Half Precision Score
1987
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 08:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 9 |
| Model ID | Google Pixel 9 |
| Motherboard | tokay |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1295
240.9 IPS |
|
|
Image Classification (HP)
|
100% |
1310
243.6 IPS |
|
|
Image Classification (Q)
|
100% |
2348
436.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1571
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1592
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2213
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2563
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2361
2.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
4983
5.91 IPS |
|
|
Object Detection (SP)
|
98% |
1061
84.5 IPS |
|
|
Object Detection (HP)
|
98% |
1073
85.4 IPS |
|
|
Object Detection (Q)
|
83% |
1472
118.9 IPS |
|
|
Face Detection (SP)
|
100% |
2293
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
2391
28.4 IPS |
|
|
Face Detection (Q)
|
95% |
3744
44.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2259
17.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1820
14.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2381
21.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3678
4.78 IPS |
|
|
Style Transfer (HP)
|
89% |
3511
4.56 IPS |
|
|
Style Transfer (Q)
|
98% |
6332
8.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
713
26.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
691
25.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1664
61.7 IPS |
|
|
Text Classification (SP)
|
100% |
334
445.6 IPS |
|
|
Text Classification (HP)
|
99% |
336
448.0 IPS |
|
|
Text Classification (Q)
|
88% |
488
658.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1152
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1223
21.1 IPS |
|
|
Machine Translation (Q)
|
50% |
550
19.5 IPS |
