Google Pixel 9 Pro XL
Geekbench AI Score
332
Single Precision Score
4307
Half Precision Score
6408
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | ewdi |
| Upload Date | August 26 2024 08:06 AM |
| 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% |
274
50.9 IPS |
|
|
Image Classification (HP)
|
100% |
4882
908.0 IPS |
|
|
Image Classification (Q)
|
99% |
6630
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
329
5.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
10257
166.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
21430
348.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
426
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
31827
37.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
63834
74.8 IPS |
|
|
Object Detection (SP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
5455
432.7 IPS |
|
|
Object Detection (Q)
|
90% |
10078
805.7 IPS |
|
|
Face Detection (SP)
|
100% |
516
6.14 IPS |
|
|
Face Detection (HP)
|
100% |
16790
199.5 IPS |
|
|
Face Detection (Q)
|
97% |
29479
351.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
366
2.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
32907
253.5 IPS |
|
|
Depth Estimation (Q)
|
70% |
42326
356.6 IPS |
|
|
Style Transfer (SP)
|
100% |
530
0.68 IPS |
|
|
Style Transfer (HP)
|
100% |
474
0.61 IPS |
|
|
Style Transfer (Q)
|
27% |
150
3.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
187
6.89 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10827
399.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
20037
742.5 IPS |
|
|
Text Classification (SP)
|
100% |
267
357.0 IPS |
|
|
Text Classification (HP)
|
100% |
267
356.5 IPS |
|
|
Text Classification (Q)
|
92% |
1188
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
411
7.07 IPS |
|
|
Machine Translation (HP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (Q)
|
57% |
287
7.02 IPS |
