Google Lillipup
Geekbench AI Score
647
Single Precision Score
647
Half Precision Score
363
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Luk30002as |
| Upload Date | May 16 2025 08:02 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i3-1115G4 |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | Google Lillipup |
| Motherboard | Google Lillipup |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1115G4 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 3.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
414
77.0 IPS |
|
|
Image Classification (HP)
|
100% |
413
76.8 IPS |
|
|
Image Classification (Q)
|
99% |
226
42.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
512
8.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
515
8.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
260
4.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
685
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
681
0.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
500
0.59 IPS |
|
|
Object Detection (SP)
|
100% |
417
33.1 IPS |
|
|
Object Detection (HP)
|
100% |
417
33.1 IPS |
|
|
Object Detection (Q)
|
85% |
230
18.5 IPS |
|
|
Face Detection (SP)
|
100% |
899
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
886
10.5 IPS |
|
|
Face Detection (Q)
|
97% |
568
6.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
789
6.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
787
6.06 IPS |
|
|
Depth Estimation (Q)
|
63% |
456
4.28 IPS |
|
|
Style Transfer (SP)
|
100% |
1186
1.52 IPS |
|
|
Style Transfer (HP)
|
100% |
1181
1.52 IPS |
|
|
Style Transfer (Q)
|
98% |
1154
1.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
447
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
447
16.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
313
11.6 IPS |
|
|
Text Classification (SP)
|
100% |
655
874.6 IPS |
|
|
Text Classification (HP)
|
100% |
656
875.1 IPS |
|
|
Text Classification (Q)
|
92% |
262
351.6 IPS |
|
|
Machine Translation (SP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
885
15.2 IPS |
|
|
Machine Translation (Q)
|
58% |
243
5.72 IPS |
