Google Pixel 9
Geekbench AI Score
1991
Single Precision Score
2001
Half Precision Score
3067
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 12:30 PM |
| 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% |
1379
256.4 IPS |
|
|
Image Classification (HP)
|
100% |
1595
296.7 IPS |
|
|
Image Classification (Q)
|
100% |
2313
430.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1779
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2444
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2819
3.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2789
3.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
6168
7.32 IPS |
|
|
Object Detection (SP)
|
98% |
1420
113.0 IPS |
|
|
Object Detection (HP)
|
98% |
1485
118.2 IPS |
|
|
Object Detection (Q)
|
83% |
2156
174.2 IPS |
|
|
Face Detection (SP)
|
100% |
2991
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
2873
34.1 IPS |
|
|
Face Detection (Q)
|
95% |
4883
58.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2865
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2953
22.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4955
45.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6781
8.80 IPS |
|
|
Style Transfer (HP)
|
89% |
6653
8.64 IPS |
|
|
Style Transfer (Q)
|
98% |
13387
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1583
58.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1504
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3514
130.2 IPS |
|
|
Text Classification (SP)
|
100% |
715
954.3 IPS |
|
|
Text Classification (HP)
|
99% |
717
956.7 IPS |
|
|
Text Classification (Q)
|
88% |
1260
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1530
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1442
24.8 IPS |
|
|
Machine Translation (Q)
|
50% |
684
24.3 IPS |
