LENOVO 20WE
Geekbench AI Score
1610
Single Precision Score
844
Half Precision Score
2794
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | FSSNAG |
| Upload Date | October 23 2024 09:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20WE |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1166
216.8 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.7 IPS |
|
|
Image Classification (Q)
|
99% |
2559
477.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
834
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
591
9.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
2083
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2597
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
1780
2.08 IPS |
|
|
Pose Estimation (Q)
|
95% |
9324
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1117
88.6 IPS |
|
|
Object Detection (HP)
|
100% |
440
34.9 IPS |
|
|
Object Detection (Q)
|
88% |
1320
105.8 IPS |
|
|
Face Detection (SP)
|
100% |
1280
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
877
10.4 IPS |
|
|
Face Detection (Q)
|
97% |
2906
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2989
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1139
8.77 IPS |
|
|
Depth Estimation (Q)
|
77% |
4290
34.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5918
7.61 IPS |
|
|
Style Transfer (HP)
|
100% |
4372
5.62 IPS |
|
|
Style Transfer (Q)
|
98% |
9467
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1217
44.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1060
39.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2380
88.1 IPS |
|
|
Text Classification (SP)
|
100% |
1221
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
561
748.3 IPS |
|
|
Text Classification (Q)
|
97% |
1226
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1234
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
414
7.14 IPS |
|
|
Machine Translation (Q)
|
60% |
1287
28.7 IPS |
