Google Pixel 9 Pro XL
Geekbench AI Score
354
Single Precision Score
4207
Half Precision Score
5939
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | sebeg_the_tea_boii |
| Upload Date | October 25 2024 09:22 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
272
50.5 IPS |
|
|
Image Classification (HP)
|
100% |
4566
849.1 IPS |
|
|
Image Classification (Q)
|
99% |
6205
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
325
5.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
7791
126.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
16091
261.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
415
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
32093
37.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
63714
74.6 IPS |
|
|
Object Detection (SP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (HP)
|
100% |
4571
362.6 IPS |
|
|
Object Detection (Q)
|
87% |
6454
517.7 IPS |
|
|
Face Detection (SP)
|
100% |
600
7.12 IPS |
|
|
Face Detection (HP)
|
100% |
16823
199.9 IPS |
|
|
Face Detection (Q)
|
97% |
30812
367.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
518
3.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
33659
259.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
41157
378.9 IPS |
|
|
Style Transfer (SP)
|
100% |
775
1.00 IPS |
|
|
Style Transfer (HP)
|
100% |
771
0.99 IPS |
|
|
Style Transfer (Q)
|
27% |
197
4.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
204
7.52 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10104
373.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
18700
692.9 IPS |
|
|
Text Classification (SP)
|
100% |
190
253.9 IPS |
|
|
Text Classification (HP)
|
100% |
192
255.6 IPS |
|
|
Text Classification (Q)
|
92% |
1088
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
397
6.84 IPS |
|
|
Machine Translation (HP)
|
100% |
393
6.76 IPS |
|
|
Machine Translation (Q)
|
57% |
262
6.39 IPS |
