Google Pixel 9 Pro XL
Geekbench AI Score
2076
Single Precision Score
2073
Half Precision Score
3246
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | ewdi |
| Upload Date | August 26 2024 07:38 AM |
| Views | 18 |
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% |
1575
292.9 IPS |
|
|
Image Classification (HP)
|
100% |
1578
293.4 IPS |
|
|
Image Classification (Q)
|
100% |
2456
456.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2564
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3006
3.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
2912
3.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
6377
7.56 IPS |
|
|
Object Detection (SP)
|
98% |
1481
117.8 IPS |
|
|
Object Detection (HP)
|
98% |
1558
124.0 IPS |
|
|
Object Detection (Q)
|
87% |
2256
181.2 IPS |
|
|
Face Detection (SP)
|
100% |
3017
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
3040
36.1 IPS |
|
|
Face Detection (Q)
|
95% |
4943
59.0 IPS |
|
|
Depth Estimation (SP)
|
98% |
2984
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3078
23.8 IPS |
|
|
Depth Estimation (Q)
|
75% |
5750
46.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7155
9.29 IPS |
|
|
Style Transfer (HP)
|
89% |
7177
9.32 IPS |
|
|
Style Transfer (Q)
|
98% |
13957
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1623
59.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3632
134.6 IPS |
|
|
Text Classification (SP)
|
100% |
733
977.8 IPS |
|
|
Text Classification (HP)
|
99% |
715
953.9 IPS |
|
|
Text Classification (Q)
|
88% |
1261
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1576
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1490
25.7 IPS |
|
|
Machine Translation (Q)
|
50% |
790
28.0 IPS |
