Google Pixel 4 XL
Geekbench AI Score
871
Single Precision Score
869
Half Precision Score
1607
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | greedus |
| Upload Date | August 16 2024 06:21 PM |
| Views | 16 |
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% |
480
89.2 IPS |
|
|
Image Classification (HP)
|
100% |
474
88.2 IPS |
|
|
Image Classification (Q)
|
100% |
1260
234.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
542
8.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
536
8.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
1448
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1882
2.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1812
2.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
2983
3.54 IPS |
|
|
Object Detection (SP)
|
100% |
395
31.4 IPS |
|
|
Object Detection (HP)
|
100% |
398
31.6 IPS |
|
|
Object Detection (Q)
|
87% |
1188
95.4 IPS |
|
|
Face Detection (SP)
|
100% |
1261
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
1257
14.9 IPS |
|
|
Face Detection (Q)
|
95% |
2679
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1481
11.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
1559
12.0 IPS |
|
|
Depth Estimation (Q)
|
75% |
2775
22.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3112
4.04 IPS |
|
|
Style Transfer (HP)
|
89% |
3139
4.07 IPS |
|
|
Style Transfer (Q)
|
98% |
6125
7.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
862
31.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
862
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1459
54.1 IPS |
|
|
Text Classification (SP)
|
100% |
392
522.9 IPS |
|
|
Text Classification (HP)
|
100% |
392
523.0 IPS |
|
|
Text Classification (Q)
|
88% |
657
886.2 IPS |
|
|
Machine Translation (SP)
|
100% |
665
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (Q)
|
50% |
409
14.5 IPS |
