LENOVO 21ES001WUS
Geekbench AI Score
1847
Single Precision Score
758
Half Precision Score
3203
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | March 19 2025 04:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1230U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21ES001WUS |
| Motherboard | LENOVO 21ES001WUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1230U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.00 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1415
263.2 IPS |
|
|
Image Classification (HP)
|
100% |
297
55.2 IPS |
|
|
Image Classification (Q)
|
99% |
2870
535.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
825
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
501
8.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
1906
31.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2875
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1927
2.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
6048
7.09 IPS |
|
|
Object Detection (SP)
|
100% |
1369
108.6 IPS |
|
|
Object Detection (HP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (Q)
|
86% |
2827
227.2 IPS |
|
|
Face Detection (SP)
|
100% |
3505
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
898
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
4545
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3268
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1062
8.19 IPS |
|
|
Depth Estimation (Q)
|
78% |
6783
54.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7119
9.15 IPS |
|
|
Style Transfer (HP)
|
100% |
4353
5.60 IPS |
|
|
Style Transfer (Q)
|
98% |
10445
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1277
47.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
796
29.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2003
74.2 IPS |
|
|
Text Classification (SP)
|
100% |
882
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
420
560.8 IPS |
|
|
Text Classification (Q)
|
97% |
1129
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1096
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
422
7.27 IPS |
|
|
Machine Translation (Q)
|
65% |
1670
33.6 IPS |
