LENOVO 81NF
Geekbench AI Score
1840
Single Precision Score
1885
Half Precision Score
1401
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 14 2025 08:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce MX250 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 81NF |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10210U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 20.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
405
75.3 IPS |
|
|
Image Classification (HP)
|
100% |
753
140.0 IPS |
|
|
Image Classification (Q)
|
99% |
369
68.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1091
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
968
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
925
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9554
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5716
6.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
8039
9.42 IPS |
|
|
Object Detection (SP)
|
100% |
552
43.8 IPS |
|
|
Object Detection (HP)
|
100% |
916
72.7 IPS |
|
|
Object Detection (Q)
|
83% |
518
41.9 IPS |
|
|
Face Detection (SP)
|
100% |
1094
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
1652
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
982
11.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3794
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3625
28.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
3111
24.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17477
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10736
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
14006
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3307
122.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2794
103.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2273
84.2 IPS |
|
|
Text Classification (SP)
|
100% |
837
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
879
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
431
578.0 IPS |
|
|
Machine Translation (SP)
|
100% |
951
16.4 IPS |
|
|
Machine Translation (HP)
|
96% |
944
16.3 IPS |
|
|
Machine Translation (Q)
|
70% |
489
9.17 IPS |
