Google Pixel 9
Geekbench AI Score
1939
Single Precision Score
1908
Half Precision Score
3003
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | icpfreak38464 |
| Upload Date | March 22 2025 02:10 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1377
256.1 IPS |
|
|
Image Classification (HP)
|
100% |
1509
280.7 IPS |
|
|
Image Classification (Q)
|
100% |
2377
442.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1731
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1709
27.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2403
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2822
3.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2725
3.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
6098
7.23 IPS |
|
|
Object Detection (SP)
|
98% |
1376
109.5 IPS |
|
|
Object Detection (HP)
|
98% |
1222
97.2 IPS |
|
|
Object Detection (Q)
|
83% |
2164
174.8 IPS |
|
|
Face Detection (SP)
|
100% |
2894
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
2870
34.1 IPS |
|
|
Face Detection (Q)
|
95% |
4830
57.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3010
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2851
22.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4818
44.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6723
8.73 IPS |
|
|
Style Transfer (HP)
|
89% |
6810
8.84 IPS |
|
|
Style Transfer (Q)
|
98% |
12757
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1489
55.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1466
54.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3507
130.0 IPS |
|
|
Text Classification (SP)
|
100% |
664
885.6 IPS |
|
|
Text Classification (HP)
|
99% |
668
891.5 IPS |
|
|
Text Classification (Q)
|
88% |
1165
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1407
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1368
23.6 IPS |
|
|
Machine Translation (Q)
|
50% |
653
23.2 IPS |
