Google Pixel 9 Pro XL
Geekbench AI Score
369
Single Precision Score
4415
Half Precision Score
7960
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 11:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
272
50.6 IPS |
|
|
Image Classification (HP)
|
100% |
5618
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
6017
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
330
5.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
9897
160.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19107
310.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
427
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
31891
37.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
63309
74.1 IPS |
|
|
Object Detection (SP)
|
100% |
250
19.8 IPS |
|
|
Object Detection (HP)
|
100% |
4836
383.6 IPS |
|
|
Object Detection (Q)
|
87% |
6723
539.3 IPS |
|
|
Face Detection (SP)
|
100% |
621
7.38 IPS |
|
|
Face Detection (HP)
|
100% |
16787
199.5 IPS |
|
|
Face Detection (Q)
|
97% |
34007
405.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
544
4.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
33137
255.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
40807
375.7 IPS |
|
|
Style Transfer (SP)
|
100% |
784
1.01 IPS |
|
|
Style Transfer (HP)
|
100% |
580
0.75 IPS |
|
|
Style Transfer (Q)
|
73% |
2968
4.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
197
7.28 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10670
394.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16817
623.1 IPS |
|
|
Text Classification (SP)
|
100% |
193
257.5 IPS |
|
|
Text Classification (HP)
|
100% |
194
259.3 IPS |
|
|
Text Classification (Q)
|
92% |
1159
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
492
8.47 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.47 IPS |
|
|
Machine Translation (Q)
|
57% |
260
6.34 IPS |
