Google Pixel 9 Pro XL
Geekbench AI Score
2094
Single Precision Score
2128
Half Precision Score
3207
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | wtorres23 |
| Upload Date | September 14 2024 09:36 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
1594
296.4 IPS |
|
|
Image Classification (Q)
|
100% |
2351
437.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1786
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1769
28.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2547
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2865
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
3026
3.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
6696
7.94 IPS |
|
|
Object Detection (SP)
|
98% |
1603
127.6 IPS |
|
|
Object Detection (HP)
|
98% |
1609
128.0 IPS |
|
|
Object Detection (Q)
|
83% |
2324
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
3109
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (Q)
|
95% |
5132
61.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3335
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3346
25.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5218
47.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7345
9.53 IPS |
|
|
Style Transfer (HP)
|
89% |
7319
9.50 IPS |
|
|
Style Transfer (Q)
|
98% |
14343
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1586
58.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1693
62.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3550
131.5 IPS |
|
|
Text Classification (SP)
|
100% |
694
927.0 IPS |
|
|
Text Classification (HP)
|
99% |
693
924.8 IPS |
|
|
Text Classification (Q)
|
88% |
1187
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1694
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1607
27.7 IPS |
|
|
Machine Translation (Q)
|
50% |
765
27.1 IPS |
