Google Pixel 9 Pro XL
Geekbench AI Score
2038
Single Precision Score
2036
Half Precision Score
3105
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 13 2024 07:05 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% |
1433
266.4 IPS |
|
|
Image Classification (HP)
|
100% |
1492
277.5 IPS |
|
|
Image Classification (Q)
|
100% |
2457
456.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1756
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1710
27.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2472
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2957
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2881
3.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
6370
7.55 IPS |
|
|
Object Detection (SP)
|
98% |
1550
123.3 IPS |
|
|
Object Detection (HP)
|
98% |
1555
123.7 IPS |
|
|
Object Detection (Q)
|
83% |
2230
180.1 IPS |
|
|
Face Detection (SP)
|
100% |
2997
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
2992
35.6 IPS |
|
|
Face Detection (Q)
|
95% |
4645
55.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3082
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3184
24.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5035
46.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7151
9.28 IPS |
|
|
Style Transfer (HP)
|
89% |
7075
9.18 IPS |
|
|
Style Transfer (Q)
|
98% |
13577
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1578
58.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1540
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3509
130.0 IPS |
|
|
Text Classification (SP)
|
100% |
682
910.0 IPS |
|
|
Text Classification (HP)
|
99% |
725
967.2 IPS |
|
|
Text Classification (Q)
|
88% |
1318
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1513
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1426
24.6 IPS |
|
|
Machine Translation (Q)
|
50% |
658
23.3 IPS |
