Google Pixel 9 Pro XL
Geekbench AI Score
1622
Single Precision Score
1580
Half Precision Score
2346
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 07:49 AM |
| Views | 1 |
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% |
1533
285.0 IPS |
|
|
Image Classification (HP)
|
100% |
1572
292.4 IPS |
|
|
Image Classification (Q)
|
100% |
2411
448.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1703
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1705
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2275
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2716
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2093
2.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
4559
5.41 IPS |
|
|
Object Detection (SP)
|
98% |
1072
85.3 IPS |
|
|
Object Detection (HP)
|
98% |
931
74.1 IPS |
|
|
Object Detection (Q)
|
83% |
1384
111.8 IPS |
|
|
Face Detection (SP)
|
100% |
2151
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
2337
27.8 IPS |
|
|
Face Detection (Q)
|
95% |
3723
44.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2423
18.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2380
18.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3355
30.7 IPS |
|
|
Style Transfer (SP)
|
89% |
5198
6.75 IPS |
|
|
Style Transfer (HP)
|
89% |
5134
6.66 IPS |
|
|
Style Transfer (Q)
|
98% |
9859
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1132
41.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1058
39.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2391
88.6 IPS |
|
|
Text Classification (SP)
|
100% |
450
600.4 IPS |
|
|
Text Classification (HP)
|
99% |
540
720.2 IPS |
|
|
Text Classification (Q)
|
88% |
965
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1203
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1144
19.7 IPS |
|
|
Machine Translation (Q)
|
50% |
514
18.2 IPS |
