LENOVO 21ES001WUS
Geekbench AI Score
1714
Single Precision Score
1707
Half Precision Score
1062
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | March 19 2025 04:18 PM |
| Views | 18 |
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 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% |
733
136.4 IPS |
|
|
Image Classification (HP)
|
100% |
740
137.6 IPS |
|
|
Image Classification (Q)
|
100% |
613
113.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1079
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1241
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
783
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6016
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
6535
7.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
3223
3.77 IPS |
|
|
Object Detection (SP)
|
100% |
832
66.0 IPS |
|
|
Object Detection (HP)
|
98% |
722
57.5 IPS |
|
|
Object Detection (Q)
|
86% |
678
54.5 IPS |
|
|
Face Detection (SP)
|
100% |
1667
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
1908
22.7 IPS |
|
|
Face Detection (Q)
|
97% |
1196
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3332
25.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3596
27.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
2287
18.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13350
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16716
21.5 IPS |
|
|
Style Transfer (Q)
|
98% |
8558
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2047
75.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2502
92.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
848
31.4 IPS |
|
|
Text Classification (SP)
|
100% |
565
753.8 IPS |
|
|
Text Classification (HP)
|
100% |
277
369.1 IPS |
|
|
Text Classification (Q)
|
97% |
288
386.3 IPS |
|
|
Machine Translation (SP)
|
100% |
647
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (Q)
|
70% |
306
5.74 IPS |
