Google Pixel 9 Pro XL
Geekbench AI Score
2102
Single Precision Score
2134
Half Precision Score
3051
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | fredstar |
| Upload Date | December 04 2024 03:47 PM |
| 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 Pro XL |
| Model ID | Google Pixel 9 Pro XL |
| Motherboard | komodo |
| 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 | 15.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1410
262.2 IPS |
|
|
Image Classification (HP)
|
100% |
1602
297.9 IPS |
|
|
Image Classification (Q)
|
100% |
2364
439.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1762
28.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2462
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3069
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
3047
3.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
6906
8.19 IPS |
|
|
Object Detection (SP)
|
98% |
1399
111.3 IPS |
|
|
Object Detection (HP)
|
98% |
1474
117.3 IPS |
|
|
Object Detection (Q)
|
83% |
1124
90.8 IPS |
|
|
Face Detection (SP)
|
100% |
3067
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3047
36.2 IPS |
|
|
Face Detection (Q)
|
95% |
5059
60.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3366
26.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3411
26.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5344
48.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7485
9.72 IPS |
|
|
Style Transfer (HP)
|
89% |
7537
9.78 IPS |
|
|
Style Transfer (Q)
|
98% |
14829
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1694
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1632
60.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3702
137.2 IPS |
|
|
Text Classification (SP)
|
100% |
700
934.8 IPS |
|
|
Text Classification (HP)
|
99% |
704
939.4 IPS |
|
|
Text Classification (Q)
|
88% |
1328
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1727
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1717
29.6 IPS |
|
|
Machine Translation (Q)
|
50% |
787
27.9 IPS |
