Google Pixel 4 XL
Geekbench AI Score
960
Single Precision Score
948
Half Precision Score
1788
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 08:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 855 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
531
98.8 IPS |
|
|
Image Classification (HP)
|
100% |
522
97.0 IPS |
|
|
Image Classification (Q)
|
100% |
1385
257.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
585
9.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
574
9.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
1589
25.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1994
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1922
2.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
3166
3.75 IPS |
|
|
Object Detection (SP)
|
100% |
437
34.6 IPS |
|
|
Object Detection (HP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (Q)
|
83% |
1243
100.4 IPS |
|
|
Face Detection (SP)
|
100% |
1312
15.6 IPS |
|
|
Face Detection (HP)
|
100% |
1331
15.8 IPS |
|
|
Face Detection (Q)
|
95% |
2908
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1596
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1622
12.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2816
25.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3354
4.35 IPS |
|
|
Style Transfer (HP)
|
89% |
3348
4.35 IPS |
|
|
Style Transfer (Q)
|
98% |
6980
9.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
914
33.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
902
33.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1680
62.3 IPS |
|
|
Text Classification (SP)
|
100% |
511
681.7 IPS |
|
|
Text Classification (HP)
|
100% |
517
690.1 IPS |
|
|
Text Classification (Q)
|
88% |
914
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
755
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (Q)
|
50% |
440
15.6 IPS |
