Google Pixel 9 Pro XL
Geekbench AI Score
399
Single Precision Score
4832
Half Precision Score
6430
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | timbro |
| Upload Date | November 17 2024 03:45 AM |
| Views | 4 |
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% |
267
49.7 IPS |
|
|
Image Classification (HP)
|
100% |
4408
819.8 IPS |
|
|
Image Classification (Q)
|
99% |
7265
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
338
5.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
7673
124.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
15758
256.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
412
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
31870
37.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
63648
74.5 IPS |
|
|
Object Detection (SP)
|
100% |
235
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
4937
391.6 IPS |
|
|
Object Detection (Q)
|
87% |
6231
499.8 IPS |
|
|
Face Detection (SP)
|
100% |
544
6.46 IPS |
|
|
Face Detection (HP)
|
100% |
21366
253.9 IPS |
|
|
Face Detection (Q)
|
97% |
40212
479.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
346
2.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
32587
251.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
37585
346.0 IPS |
|
|
Style Transfer (SP)
|
100% |
826
1.06 IPS |
|
|
Style Transfer (HP)
|
100% |
816
1.05 IPS |
|
|
Style Transfer (Q)
|
27% |
211
4.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
284
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8868
327.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14744
546.3 IPS |
|
|
Text Classification (SP)
|
100% |
431
575.7 IPS |
|
|
Text Classification (HP)
|
100% |
435
580.8 IPS |
|
|
Text Classification (Q)
|
92% |
1259
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
616
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
596
10.3 IPS |
|
|
Machine Translation (Q)
|
57% |
450
11.0 IPS |
