LENOVO 20W5S19L1F
Geekbench AI Score
1979
Single Precision Score
2268
Half Precision Score
1271
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | akocis |
| Upload Date | March 23 2025 06:22 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | LENOVO 20W5S19L1F |
| Motherboard | LENOVO 20W5S19L1F |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1145G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.61 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
857
159.3 IPS |
|
|
Image Classification (HP)
|
100% |
969
180.1 IPS |
|
|
Image Classification (Q)
|
100% |
744
138.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1132
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1457
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
829
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6468
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
9345
10.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
3977
4.66 IPS |
|
|
Object Detection (SP)
|
100% |
1068
84.7 IPS |
|
|
Object Detection (HP)
|
98% |
984
78.3 IPS |
|
|
Object Detection (Q)
|
86% |
857
68.9 IPS |
|
|
Face Detection (SP)
|
100% |
1474
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
2428
28.9 IPS |
|
|
Face Detection (Q)
|
97% |
1124
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4135
31.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5063
39.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
2990
24.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16400
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23283
29.9 IPS |
|
|
Style Transfer (Q)
|
98% |
9954
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2763
102.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3471
128.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1146
42.4 IPS |
|
|
Text Classification (SP)
|
100% |
731
975.9 IPS |
|
|
Text Classification (HP)
|
100% |
394
525.4 IPS |
|
|
Text Classification (Q)
|
97% |
398
532.6 IPS |
|
|
Machine Translation (SP)
|
100% |
682
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (Q)
|
70% |
345
6.46 IPS |
