Google Pixel 3 XL
Geekbench AI Score
16
Single Precision Score
16
Half Precision Score
9
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 01:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 845 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Google Pixel 3 XL |
| Model ID | Google Pixel 3 XL |
| Motherboard | crosshatch |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 6 part 2050 revision 13 |
| Base Frequency | 1.77 GHz |
| Cluster 1 | 4 Cores @ 1.77 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 3.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
2.79 KIPS |
|
|
Image Classification (HP)
|
0% |
0
2.76 KIPS |
|
|
Image Classification (Q)
|
0% |
0
4.23 KIPS |
|
|
Image Segmentation (SP)
|
73% |
15452
267.0 IPS |
|
|
Image Segmentation (HP)
|
73% |
15491
267.7 IPS |
|
|
Image Segmentation (Q)
|
73% |
40453
699.1 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
895.8 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
942.3 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
2.47 KIPS |
|
|
Object Detection (SP)
|
0% |
0
1.24 KIPS |
|
|
Object Detection (HP)
|
0% |
0
1.23 KIPS |
|
|
Object Detection (Q)
|
0% |
0
959.2 IPS |
|
|
Face Detection (SP)
|
0% |
0
364.3 IPS |
|
|
Face Detection (HP)
|
0% |
0
362.9 IPS |
|
|
Face Detection (Q)
|
0% |
0
604.4 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
974.6 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
977.6 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
858.5 IPS |
|
|
Style Transfer (SP)
|
32% |
137561
1.73 KIPS |
|
|
Style Transfer (HP)
|
32% |
138479
1.74 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
4.01 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
2.00 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
314
3.70 KIPS |
|
|
Text Classification (SP)
|
29% |
700
12.1 KIPS |
|
|
Text Classification (HP)
|
29% |
684
11.8 KIPS |
|
|
Text Classification (Q)
|
29% |
444
7.66 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
7.80 IPS |
|
|
Machine Translation (HP)
|
0% |
0
7.41 IPS |
|
|
Machine Translation (Q)
|
0% |
0
5.89 IPS |
