Google Pixel 9 Pro XL
Geekbench AI Score
427
Single Precision Score
4974
Half Precision Score
8550
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | kent_tester |
| Upload Date | September 19 2024 05:51 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
275
51.1 IPS |
|
|
Image Classification (HP)
|
100% |
4885
908.5 IPS |
|
|
Image Classification (Q)
|
99% |
6055
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
347
5.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
8245
133.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
22996
373.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
421
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
32229
37.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
64383
75.4 IPS |
|
|
Object Detection (SP)
|
100% |
244
19.3 IPS |
|
|
Object Detection (HP)
|
100% |
6785
538.2 IPS |
|
|
Object Detection (Q)
|
87% |
7176
575.6 IPS |
|
|
Face Detection (SP)
|
100% |
621
7.38 IPS |
|
|
Face Detection (HP)
|
100% |
16855
200.3 IPS |
|
|
Face Detection (Q)
|
97% |
32145
383.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
545
4.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
34141
263.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
41712
384.0 IPS |
|
|
Style Transfer (SP)
|
100% |
789
1.01 IPS |
|
|
Style Transfer (HP)
|
100% |
797
1.02 IPS |
|
|
Style Transfer (Q)
|
74% |
3504
4.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
295
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9069
334.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15096
559.4 IPS |
|
|
Text Classification (SP)
|
100% |
429
572.5 IPS |
|
|
Text Classification (HP)
|
100% |
424
566.0 IPS |
|
|
Text Classification (Q)
|
92% |
1130
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (Q)
|
57% |
405
9.90 IPS |
