Google Pixel 9 Pro XL
Geekbench AI Score
380
Single Precision Score
4467
Half Precision Score
8050
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | WannaBeOCer |
| Upload Date | September 06 2024 09:57 AM |
| Views | 13 |
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% |
274
51.0 IPS |
|
|
Image Classification (HP)
|
100% |
5317
988.8 IPS |
|
|
Image Classification (Q)
|
99% |
6208
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
349
5.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
8313
134.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15548
252.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
435
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
31700
37.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
63411
74.3 IPS |
|
|
Object Detection (SP)
|
100% |
256
20.3 IPS |
|
|
Object Detection (HP)
|
100% |
5168
409.9 IPS |
|
|
Object Detection (Q)
|
87% |
6533
524.0 IPS |
|
|
Face Detection (SP)
|
100% |
625
7.42 IPS |
|
|
Face Detection (HP)
|
100% |
15717
186.8 IPS |
|
|
Face Detection (Q)
|
97% |
33181
395.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
550
4.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
34532
266.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
39004
359.1 IPS |
|
|
Style Transfer (SP)
|
100% |
809
1.04 IPS |
|
|
Style Transfer (HP)
|
100% |
732
0.94 IPS |
|
|
Style Transfer (Q)
|
74% |
3200
4.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
207
7.65 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8985
331.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15463
573.0 IPS |
|
|
Text Classification (SP)
|
100% |
211
282.0 IPS |
|
|
Text Classification (HP)
|
100% |
302
402.7 IPS |
|
|
Text Classification (Q)
|
92% |
1305
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
488
8.40 IPS |
|
|
Machine Translation (HP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (Q)
|
57% |
342
8.36 IPS |
