Google Pixel 4 XL
Geekbench AI Score
327
Single Precision Score
504
Half Precision Score
514
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | blakjak |
| Upload Date | September 01 2025 02:23 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
209
38.8 IPS |
|
|
Image Classification (HP)
|
100% |
365
67.8 IPS |
|
|
Image Classification (Q)
|
97% |
372
69.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
572
9.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
564
9.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
431
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
324
0.38 IPS |
|
|
Pose Estimation (Q)
|
95% |
321
0.38 IPS |
|
|
Object Detection (SP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
89% |
270
21.6 IPS |
|
|
Face Detection (SP)
|
100% |
479
5.69 IPS |
|
|
Face Detection (HP)
|
100% |
1042
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
1038
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
462
3.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
902
6.97 IPS |
|
|
Depth Estimation (Q)
|
62% |
736
6.97 IPS |
|
|
Style Transfer (SP)
|
100% |
963
1.24 IPS |
|
|
Style Transfer (HP)
|
100% |
2376
3.05 IPS |
|
|
Style Transfer (Q)
|
98% |
2353
3.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
240
8.85 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
497
18.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
488
18.1 IPS |
|
|
Text Classification (SP)
|
100% |
172
229.5 IPS |
|
|
Text Classification (HP)
|
100% |
170
227.1 IPS |
|
|
Text Classification (Q)
|
91% |
342
460.2 IPS |
|
|
Machine Translation (SP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (HP)
|
100% |
345
5.94 IPS |
|
|
Machine Translation (Q)
|
57% |
238
5.82 IPS |
