LENOVO 20WE
Geekbench AI Score
2043
Single Precision Score
2223
Half Precision Score
1290
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 06:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
940
174.8 IPS |
|
|
Image Classification (HP)
|
100% |
989
183.9 IPS |
|
|
Image Classification (Q)
|
99% |
751
140.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
949
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7548
8.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
8237
9.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
3805
4.46 IPS |
|
|
Object Detection (SP)
|
100% |
973
77.2 IPS |
|
|
Object Detection (HP)
|
98% |
965
76.8 IPS |
|
|
Object Detection (Q)
|
89% |
842
67.4 IPS |
|
|
Face Detection (SP)
|
100% |
1583
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
2177
25.9 IPS |
|
|
Face Detection (Q)
|
97% |
1116
13.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3726
28.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
5089
39.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
2983
24.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17151
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24794
31.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10793
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2590
95.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3530
130.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1186
43.9 IPS |
|
|
Text Classification (SP)
|
100% |
688
918.1 IPS |
|
|
Text Classification (HP)
|
100% |
319
425.8 IPS |
|
|
Text Classification (Q)
|
97% |
402
538.5 IPS |
|
|
Machine Translation (SP)
|
100% |
787
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
747
12.9 IPS |
|
|
Machine Translation (Q)
|
60% |
328
7.32 IPS |
