Google Pixel 9
Geekbench AI Score
1429
Single Precision Score
1415
Half Precision Score
2143
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 12:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| 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% |
1321
245.6 IPS |
|
|
Image Classification (HP)
|
100% |
1550
288.3 IPS |
|
|
Image Classification (Q)
|
100% |
2274
422.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1690
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1704
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2369
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2716
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2568
3.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
5480
6.50 IPS |
|
|
Object Detection (SP)
|
98% |
1205
95.9 IPS |
|
|
Object Detection (HP)
|
98% |
1260
100.3 IPS |
|
|
Object Detection (Q)
|
87% |
1737
139.5 IPS |
|
|
Face Detection (SP)
|
100% |
2136
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
2201
26.2 IPS |
|
|
Face Detection (Q)
|
95% |
3438
41.0 IPS |
|
|
Depth Estimation (SP)
|
98% |
2231
17.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2147
16.6 IPS |
|
|
Depth Estimation (Q)
|
75% |
3856
31.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5082
6.60 IPS |
|
|
Style Transfer (HP)
|
89% |
5047
6.55 IPS |
|
|
Style Transfer (Q)
|
98% |
9735
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
808
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
712
26.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1699
62.9 IPS |
|
|
Text Classification (SP)
|
100% |
339
452.4 IPS |
|
|
Text Classification (HP)
|
99% |
326
435.4 IPS |
|
|
Text Classification (Q)
|
88% |
556
750.2 IPS |
|
|
Machine Translation (SP)
|
100% |
734
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (Q)
|
50% |
327
11.6 IPS |
