LENOVO 20WE
Geekbench AI Score
1548
Single Precision Score
827
Half Precision Score
2352
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 06:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20WE |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1005
186.8 IPS |
|
|
Image Classification (HP)
|
100% |
336
62.4 IPS |
|
|
Image Classification (Q)
|
99% |
2130
397.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
750
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
574
9.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
1357
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2671
3.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1980
2.31 IPS |
|
|
Pose Estimation (Q)
|
95% |
9238
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1023
81.1 IPS |
|
|
Object Detection (HP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (Q)
|
88% |
1236
99.1 IPS |
|
|
Face Detection (SP)
|
100% |
1376
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
883
10.5 IPS |
|
|
Face Detection (Q)
|
97% |
2847
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3163
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1220
9.40 IPS |
|
|
Depth Estimation (Q)
|
77% |
4425
35.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5903
7.59 IPS |
|
|
Style Transfer (HP)
|
100% |
4636
5.96 IPS |
|
|
Style Transfer (Q)
|
98% |
10094
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1144
42.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
818
30.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2422
89.7 IPS |
|
|
Text Classification (SP)
|
100% |
1041
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
577
770.5 IPS |
|
|
Text Classification (Q)
|
97% |
396
530.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1256
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
403
6.93 IPS |
|
|
Machine Translation (Q)
|
60% |
1290
28.8 IPS |
