Google Pixel 9 Pro XL
Geekbench AI Score
320
Single Precision Score
4363
Half Precision Score
6498
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | timk |
| Upload Date | August 24 2024 06:45 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
258
48.1 IPS |
|
|
Image Classification (HP)
|
100% |
5178
963.0 IPS |
|
|
Image Classification (Q)
|
99% |
7723
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
8992
145.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
20399
331.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
372
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
32343
37.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
64171
75.1 IPS |
|
|
Object Detection (SP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
5705
452.5 IPS |
|
|
Object Detection (Q)
|
90% |
7755
620.0 IPS |
|
|
Face Detection (SP)
|
100% |
509
6.05 IPS |
|
|
Face Detection (HP)
|
100% |
17217
204.6 IPS |
|
|
Face Detection (Q)
|
97% |
30327
361.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
479
3.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
33850
260.8 IPS |
|
|
Depth Estimation (Q)
|
70% |
43876
369.6 IPS |
|
|
Style Transfer (SP)
|
100% |
684
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
632
0.81 IPS |
|
|
Style Transfer (Q)
|
27% |
214
4.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
218
8.05 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10277
379.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
18445
683.5 IPS |
|
|
Text Classification (SP)
|
100% |
191
255.0 IPS |
|
|
Text Classification (HP)
|
100% |
254
338.4 IPS |
|
|
Text Classification (Q)
|
92% |
1457
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
411
7.09 IPS |
|
|
Machine Translation (HP)
|
100% |
303
5.22 IPS |
|
|
Machine Translation (Q)
|
57% |
224
5.48 IPS |
