Google Pixel 4 XL
Geekbench AI Score
334
Single Precision Score
415
Half Precision Score
1594
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | blakjak |
| Upload Date | September 01 2025 02:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
391
72.6 IPS |
|
|
Image Classification (HP)
|
100% |
542
100.7 IPS |
|
|
Image Classification (Q)
|
97% |
1100
205.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
458
7.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
193
3.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
1027
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1242
1.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2966
3.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
10532
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
375
29.7 IPS |
|
|
Object Detection (HP)
|
100% |
125
9.92 IPS |
|
|
Object Detection (Q)
|
85% |
1149
92.5 IPS |
|
|
Face Detection (SP)
|
100% |
998
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
354
4.21 IPS |
|
|
Face Detection (Q)
|
97% |
2965
35.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
419
3.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
297
2.29 IPS |
|
|
Depth Estimation (Q)
|
63% |
5579
52.0 IPS |
|
|
Style Transfer (SP)
|
100% |
639
0.82 IPS |
|
|
Style Transfer (HP)
|
100% |
474
0.61 IPS |
|
|
Style Transfer (Q)
|
98% |
3698
4.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
690
25.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1299
48.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4554
168.8 IPS |
|
|
Text Classification (SP)
|
71% |
6
8.79 IPS |
|
|
Text Classification (HP)
|
100% |
179
239.0 IPS |
|
|
Text Classification (Q)
|
93% |
158
211.8 IPS |
|
|
Machine Translation (SP)
|
100% |
190
3.27 IPS |
|
|
Machine Translation (HP)
|
100% |
344
5.93 IPS |
|
|
Machine Translation (Q)
|
54% |
177
5.00 IPS |
