Google Pixel 9 Pro XL
Geekbench AI Score
368
Single Precision Score
3985
Half Precision Score
8174
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | timk |
| Upload Date | June 11 2025 01:00 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 14.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
280
52.1 IPS |
|
|
Image Classification (HP)
|
100% |
5076
944.0 IPS |
|
|
Image Classification (Q)
|
99% |
9216
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
350
5.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
7918
128.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19557
318.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
433
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
31493
36.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
63284
74.1 IPS |
|
|
Object Detection (SP)
|
100% |
258
20.4 IPS |
|
|
Object Detection (HP)
|
100% |
4305
341.5 IPS |
|
|
Object Detection (Q)
|
87% |
6157
493.9 IPS |
|
|
Face Detection (SP)
|
100% |
625
7.43 IPS |
|
|
Face Detection (HP)
|
100% |
16331
194.0 IPS |
|
|
Face Detection (Q)
|
97% |
32659
389.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
548
4.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
31912
245.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
36082
332.2 IPS |
|
|
Style Transfer (SP)
|
100% |
797
1.03 IPS |
|
|
Style Transfer (HP)
|
100% |
770
0.99 IPS |
|
|
Style Transfer (Q)
|
72% |
3019
4.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
206
7.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8550
315.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15907
589.4 IPS |
|
|
Text Classification (SP)
|
100% |
184
245.4 IPS |
|
|
Text Classification (HP)
|
100% |
184
245.6 IPS |
|
|
Text Classification (Q)
|
92% |
1177
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
412
7.10 IPS |
|
|
Machine Translation (HP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (Q)
|
57% |
285
6.96 IPS |
