LENOVO 82NC
Geekbench AI Score
2890
Single Precision Score
3065
Half Precision Score
1786
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Yashassss_____ |
| Upload Date | March 15 2026 04:35 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 82NC |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11320H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 2 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1263
234.8 IPS |
|
|
Image Classification (HP)
|
100% |
1379
256.5 IPS |
|
|
Image Classification (Q)
|
100% |
1022
190.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1906
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2411
39.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1326
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12096
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12733
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
5962
6.98 IPS |
|
|
Object Detection (SP)
|
100% |
1446
114.7 IPS |
|
|
Object Detection (HP)
|
98% |
1386
110.3 IPS |
|
|
Object Detection (Q)
|
86% |
1202
96.7 IPS |
|
|
Face Detection (SP)
|
100% |
2900
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
3697
43.9 IPS |
|
|
Face Detection (Q)
|
97% |
2081
24.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5889
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
7002
54.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
4159
33.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25753
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33185
42.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15176
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3503
129.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4443
164.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1444
53.5 IPS |
|
|
Text Classification (SP)
|
100% |
610
814.0 IPS |
|
|
Text Classification (HP)
|
100% |
320
427.2 IPS |
|
|
Text Classification (Q)
|
97% |
373
499.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1028
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1022
17.6 IPS |
|
|
Machine Translation (Q)
|
70% |
483
9.06 IPS |
