LENOVO 81NF
Geekbench AI Score
954
Single Precision Score
452
Half Precision Score
1337
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ramabandarAl-matrafi |
| Upload Date | April 10 2025 12:39 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10510U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 81NF |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10510U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
809
150.4 IPS |
|
|
Image Classification (HP)
|
100% |
147
27.3 IPS |
|
|
Image Classification (Q)
|
96% |
806
150.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
363
5.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
228
3.69 IPS |
|
|
Image Segmentation (Q)
|
97% |
584
9.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
1382
1.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1112
1.30 IPS |
|
|
Pose Estimation (Q)
|
86% |
2268
2.68 IPS |
|
|
Object Detection (SP)
|
100% |
567
45.0 IPS |
|
|
Object Detection (HP)
|
100% |
180
14.3 IPS |
|
|
Object Detection (Q)
|
58% |
641
70.0 IPS |
|
|
Face Detection (SP)
|
100% |
1142
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
415
4.93 IPS |
|
|
Face Detection (Q)
|
96% |
1793
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1372
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
699
5.39 IPS |
|
|
Depth Estimation (Q)
|
78% |
3317
26.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3270
4.20 IPS |
|
|
Style Transfer (HP)
|
100% |
2991
3.85 IPS |
|
|
Style Transfer (Q)
|
87% |
4981
6.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
640
23.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
613
22.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1131
41.9 IPS |
|
|
Text Classification (SP)
|
100% |
947
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
282
376.0 IPS |
|
|
Text Classification (Q)
|
97% |
739
990.3 IPS |
|
|
Machine Translation (SP)
|
100% |
874
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
361
6.21 IPS |
|
|
Machine Translation (Q)
|
68% |
1080
20.9 IPS |
