Google Pixel 9 Pro XL
Geekbench AI Score
2106
Single Precision Score
2147
Half Precision Score
3234
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Alan156 |
| Upload Date | November 24 2024 09:14 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| 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% |
1406
261.4 IPS |
|
|
Image Classification (HP)
|
100% |
1600
297.5 IPS |
|
|
Image Classification (Q)
|
100% |
2356
438.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1782
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1748
28.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2458
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3085
3.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
3032
3.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
6980
8.28 IPS |
|
|
Object Detection (SP)
|
98% |
1495
119.0 IPS |
|
|
Object Detection (HP)
|
98% |
1630
129.7 IPS |
|
|
Object Detection (Q)
|
83% |
2307
186.4 IPS |
|
|
Face Detection (SP)
|
100% |
3125
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
3114
37.0 IPS |
|
|
Face Detection (Q)
|
95% |
4918
58.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3219
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3283
25.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5358
49.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7572
9.83 IPS |
|
|
Style Transfer (HP)
|
89% |
7578
9.84 IPS |
|
|
Style Transfer (Q)
|
98% |
14708
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1628
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1635
60.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3624
134.3 IPS |
|
|
Text Classification (SP)
|
100% |
700
934.5 IPS |
|
|
Text Classification (HP)
|
99% |
697
930.2 IPS |
|
|
Text Classification (Q)
|
88% |
1197
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1712
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1713
29.5 IPS |
|
|
Machine Translation (Q)
|
50% |
800
28.4 IPS |
