Google Pixel 9 Pro XL
Geekbench AI Score
357
Single Precision Score
4204
Half Precision Score
6074
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 01:41 AM |
| Views | 5 |
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% |
275
51.2 IPS |
|
|
Image Classification (HP)
|
100% |
5297
985.1 IPS |
|
|
Image Classification (Q)
|
99% |
5792
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
348
5.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
8959
145.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18232
296.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
426
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
31794
37.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
63167
74.0 IPS |
|
|
Object Detection (SP)
|
100% |
249
19.7 IPS |
|
|
Object Detection (HP)
|
100% |
4591
364.2 IPS |
|
|
Object Detection (Q)
|
87% |
6682
536.0 IPS |
|
|
Face Detection (SP)
|
100% |
603
7.16 IPS |
|
|
Face Detection (HP)
|
100% |
16222
192.7 IPS |
|
|
Face Detection (Q)
|
97% |
32940
392.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
518
3.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
33580
258.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
37284
343.2 IPS |
|
|
Style Transfer (SP)
|
100% |
594
0.76 IPS |
|
|
Style Transfer (HP)
|
100% |
526
0.68 IPS |
|
|
Style Transfer (Q)
|
27% |
197
4.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
203
7.49 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8794
324.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16128
597.6 IPS |
|
|
Text Classification (SP)
|
100% |
200
267.0 IPS |
|
|
Text Classification (HP)
|
100% |
200
267.2 IPS |
|
|
Text Classification (Q)
|
92% |
1195
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
441
7.59 IPS |
|
|
Machine Translation (HP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (Q)
|
57% |
329
8.04 IPS |
