Google Pixel 9 Pro XL
Geekbench AI Score
289
Single Precision Score
4434
Half Precision Score
8996
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 05:54 AM |
| Views | 1 |
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% |
262
48.7 IPS |
|
|
Image Classification (HP)
|
100% |
6289
1.17 KIPS |
|
|
Image Classification (Q)
|
99% |
10263
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
306
4.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
8884
144.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18269
297.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
304
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
32334
37.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
65274
76.4 IPS |
|
|
Object Detection (SP)
|
100% |
162
12.9 IPS |
|
|
Object Detection (HP)
|
100% |
5592
443.6 IPS |
|
|
Object Detection (Q)
|
87% |
7243
581.0 IPS |
|
|
Face Detection (SP)
|
100% |
422
5.02 IPS |
|
|
Face Detection (HP)
|
100% |
15235
181.0 IPS |
|
|
Face Detection (Q)
|
97% |
32191
383.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
356
2.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
35361
272.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
42655
392.7 IPS |
|
|
Style Transfer (SP)
|
100% |
527
0.68 IPS |
|
|
Style Transfer (HP)
|
100% |
503
0.65 IPS |
|
|
Style Transfer (Q)
|
73% |
2695
3.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
187
6.92 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10423
384.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19500
722.6 IPS |
|
|
Text Classification (SP)
|
100% |
172
228.9 IPS |
|
|
Text Classification (HP)
|
100% |
253
337.4 IPS |
|
|
Text Classification (Q)
|
92% |
2235
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
408
7.02 IPS |
|
|
Machine Translation (HP)
|
100% |
407
7.01 IPS |
|
|
Machine Translation (Q)
|
57% |
243
5.94 IPS |
