Google Pixel 4 XL
Geekbench AI Score
867
Single Precision Score
859
Half Precision Score
1569
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | blakjak |
| Upload Date | September 01 2025 02:48 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 855 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google Pixel 4 XL |
| Model ID | Google Pixel 4 XL |
| Motherboard | coral |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 5.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
464
86.3 IPS |
|
|
Image Classification (HP)
|
100% |
447
83.1 IPS |
|
|
Image Classification (Q)
|
100% |
1209
224.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
550
8.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
537
8.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
1459
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1867
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1818
2.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
2893
3.43 IPS |
|
|
Object Detection (SP)
|
100% |
396
31.4 IPS |
|
|
Object Detection (HP)
|
100% |
394
31.2 IPS |
|
|
Object Detection (Q)
|
83% |
1096
88.6 IPS |
|
|
Face Detection (SP)
|
100% |
1257
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
1233
14.7 IPS |
|
|
Face Detection (Q)
|
95% |
2589
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1530
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1493
11.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2576
23.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3087
4.01 IPS |
|
|
Style Transfer (HP)
|
89% |
3077
3.99 IPS |
|
|
Style Transfer (Q)
|
98% |
6127
7.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
848
31.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
854
31.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1449
53.7 IPS |
|
|
Text Classification (SP)
|
100% |
386
515.0 IPS |
|
|
Text Classification (HP)
|
100% |
409
545.7 IPS |
|
|
Text Classification (Q)
|
88% |
698
941.1 IPS |
|
|
Machine Translation (SP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (Q)
|
50% |
392
13.9 IPS |
