Google Pixel 9 Pro XL
Geekbench AI Score
2052
Single Precision Score
2052
Half Precision Score
3174
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Malcolm123 |
| Upload Date | August 23 2024 07:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
1393
259.0 IPS |
|
|
Image Classification (HP)
|
100% |
1592
296.0 IPS |
|
|
Image Classification (Q)
|
100% |
2361
439.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1781
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1686
27.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2565
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3015
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2961
3.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
6387
7.58 IPS |
|
|
Object Detection (SP)
|
98% |
1538
122.4 IPS |
|
|
Object Detection (HP)
|
98% |
1569
124.8 IPS |
|
|
Object Detection (Q)
|
87% |
2269
182.2 IPS |
|
|
Face Detection (SP)
|
100% |
3025
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
3071
36.5 IPS |
|
|
Face Detection (Q)
|
95% |
4967
59.3 IPS |
|
|
Depth Estimation (SP)
|
98% |
3198
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3181
24.6 IPS |
|
|
Depth Estimation (Q)
|
75% |
5769
46.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7183
9.33 IPS |
|
|
Style Transfer (HP)
|
89% |
6993
9.08 IPS |
|
|
Style Transfer (Q)
|
98% |
13586
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1556
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1576
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3619
134.1 IPS |
|
|
Text Classification (SP)
|
100% |
678
904.4 IPS |
|
|
Text Classification (HP)
|
99% |
669
892.4 IPS |
|
|
Text Classification (Q)
|
88% |
1188
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1570
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1476
25.4 IPS |
|
|
Machine Translation (Q)
|
50% |
708
25.2 IPS |
