Google Pixel 9 Pro XL
Geekbench AI Score
456
Single Precision Score
5142
Half Precision Score
6864
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | fredstar |
| Upload Date | December 04 2024 04:01 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G4 |
| 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% |
283
52.7 IPS |
|
|
Image Classification (HP)
|
100% |
5376
999.8 IPS |
|
|
Image Classification (Q)
|
99% |
8777
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
370
5.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
8300
134.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16513
268.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
468
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
32119
37.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
63936
74.9 IPS |
|
|
Object Detection (SP)
|
100% |
278
22.1 IPS |
|
|
Object Detection (HP)
|
100% |
5385
427.2 IPS |
|
|
Object Detection (Q)
|
87% |
7436
596.5 IPS |
|
|
Face Detection (SP)
|
100% |
657
7.81 IPS |
|
|
Face Detection (HP)
|
100% |
22408
266.2 IPS |
|
|
Face Detection (Q)
|
97% |
43945
524.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
577
4.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
32596
251.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
37371
344.0 IPS |
|
|
Style Transfer (SP)
|
100% |
864
1.11 IPS |
|
|
Style Transfer (HP)
|
100% |
850
1.09 IPS |
|
|
Style Transfer (Q)
|
27% |
229
4.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
320
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9723
359.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16625
616.0 IPS |
|
|
Text Classification (SP)
|
100% |
440
586.8 IPS |
|
|
Text Classification (HP)
|
100% |
449
599.5 IPS |
|
|
Text Classification (Q)
|
92% |
1174
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
629
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
618
10.6 IPS |
|
|
Machine Translation (Q)
|
57% |
459
11.2 IPS |
