Google Pixel 9 Pro XL
Geekbench AI Score
291
Single Precision Score
4489
Half Precision Score
6351
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | hgpot |
| Upload Date | August 30 2024 01:27 AM |
| Views | 13 |
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% |
209
38.9 IPS |
|
|
Image Classification (HP)
|
100% |
6047
1.12 KIPS |
|
|
Image Classification (Q)
|
99% |
6226
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
194
3.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
9463
153.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
20019
325.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
246
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
31991
37.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
64292
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
5040
399.8 IPS |
|
|
Object Detection (Q)
|
90% |
6914
552.7 IPS |
|
|
Face Detection (SP)
|
100% |
439
5.21 IPS |
|
|
Face Detection (HP)
|
100% |
15945
189.5 IPS |
|
|
Face Detection (Q)
|
97% |
29212
348.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
366
2.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
33258
256.2 IPS |
|
|
Depth Estimation (Q)
|
70% |
42186
355.4 IPS |
|
|
Style Transfer (SP)
|
100% |
567
0.73 IPS |
|
|
Style Transfer (HP)
|
100% |
538
0.69 IPS |
|
|
Style Transfer (Q)
|
27% |
199
4.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
191
7.04 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10208
376.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19344
716.8 IPS |
|
|
Text Classification (SP)
|
100% |
303
403.9 IPS |
|
|
Text Classification (HP)
|
100% |
303
404.0 IPS |
|
|
Text Classification (Q)
|
92% |
1229
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
494
8.50 IPS |
|
|
Machine Translation (HP)
|
100% |
409
7.04 IPS |
|
|
Machine Translation (Q)
|
57% |
331
8.10 IPS |
