Google Pixel 9
Geekbench AI Score
1433
Single Precision Score
1396
Half Precision Score
2079
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Sn0w0nS |
| Upload Date | December 11 2024 05:54 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1327
246.9 IPS |
|
|
Image Classification (HP)
|
100% |
1387
258.0 IPS |
|
|
Image Classification (Q)
|
100% |
2240
416.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1701
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2378
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2692
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
2624
3.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
5478
6.50 IPS |
|
|
Object Detection (SP)
|
98% |
1223
97.3 IPS |
|
|
Object Detection (HP)
|
98% |
1217
96.9 IPS |
|
|
Object Detection (Q)
|
83% |
1328
107.3 IPS |
|
|
Face Detection (SP)
|
100% |
2092
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
1917
22.8 IPS |
|
|
Face Detection (Q)
|
95% |
2504
29.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1697
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1519
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2313
21.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3580
4.65 IPS |
|
|
Style Transfer (HP)
|
89% |
3224
4.18 IPS |
|
|
Style Transfer (Q)
|
98% |
7938
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
898
33.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1029
38.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2445
90.6 IPS |
|
|
Text Classification (SP)
|
100% |
441
589.2 IPS |
|
|
Text Classification (HP)
|
99% |
426
568.1 IPS |
|
|
Text Classification (Q)
|
88% |
737
994.6 IPS |
|
|
Machine Translation (SP)
|
100% |
977
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
958
16.5 IPS |
|
|
Machine Translation (Q)
|
50% |
470
16.7 IPS |
