LENOVO 81X8
Geekbench AI Score
573
Single Precision Score
576
Half Precision Score
369
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | dfirebug0 |
| Upload Date | August 15 2024 06:40 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i3-1115G4 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04 LTS |
| Model | LENOVO 81X8 |
| Motherboard | LENOVO LNVNB161216 |
| 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 | 3.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
409
76.1 IPS |
|
|
Image Classification (HP)
|
100% |
409
76.0 IPS |
|
|
Image Classification (Q)
|
99% |
230
42.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
467
7.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
468
7.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
260
4.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
633
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
631
0.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
500
0.59 IPS |
|
|
Object Detection (SP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (HP)
|
100% |
403
31.9 IPS |
|
|
Object Detection (Q)
|
86% |
232
18.6 IPS |
|
|
Face Detection (SP)
|
100% |
705
8.37 IPS |
|
|
Face Detection (HP)
|
100% |
695
8.25 IPS |
|
|
Face Detection (Q)
|
97% |
561
6.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
674
5.19 IPS |
|
|
Depth Estimation (HP)
|
100% |
675
5.20 IPS |
|
|
Depth Estimation (Q)
|
74% |
525
4.27 IPS |
|
|
Style Transfer (SP)
|
100% |
896
1.15 IPS |
|
|
Style Transfer (HP)
|
100% |
909
1.17 IPS |
|
|
Style Transfer (Q)
|
98% |
1132
1.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
387
14.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
393
14.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
316
11.7 IPS |
|
|
Text Classification (SP)
|
100% |
662
884.0 IPS |
|
|
Text Classification (HP)
|
100% |
667
890.2 IPS |
|
|
Text Classification (Q)
|
92% |
264
354.1 IPS |
|
|
Machine Translation (SP)
|
100% |
732
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
748
12.9 IPS |
|
|
Machine Translation (Q)
|
58% |
246
5.76 IPS |
