Google Pixel 9 Pro XL
Geekbench AI Score
350
Single Precision Score
4184
Half Precision Score
8492
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 08:21 AM |
| Views | 1 |
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% |
277
51.5 IPS |
|
|
Image Classification (HP)
|
100% |
5512
1.02 KIPS |
|
|
Image Classification (Q)
|
99% |
6179
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
352
5.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
7377
119.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
18796
305.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
428
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
31723
37.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
63613
74.5 IPS |
|
|
Object Detection (SP)
|
100% |
235
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
4816
382.0 IPS |
|
|
Object Detection (Q)
|
87% |
8807
706.5 IPS |
|
|
Face Detection (SP)
|
100% |
553
6.57 IPS |
|
|
Face Detection (HP)
|
100% |
15715
186.7 IPS |
|
|
Face Detection (Q)
|
97% |
38952
464.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
419
3.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
33046
254.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
37683
346.9 IPS |
|
|
Style Transfer (SP)
|
100% |
535
0.69 IPS |
|
|
Style Transfer (HP)
|
100% |
570
0.73 IPS |
|
|
Style Transfer (Q)
|
73% |
3212
4.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
252
9.32 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8630
318.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16178
599.5 IPS |
|
|
Text Classification (SP)
|
100% |
212
282.8 IPS |
|
|
Text Classification (HP)
|
100% |
212
283.6 IPS |
|
|
Text Classification (Q)
|
92% |
1195
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
432
7.43 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.43 IPS |
|
|
Machine Translation (Q)
|
57% |
329
8.04 IPS |
