LENOVO 82NC
Geekbench AI Score
4503
Single Precision Score
5522
Half Precision Score
9580
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Yashassss_____ |
| Upload Date | March 15 2026 04:39 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2828
526.0 IPS |
|
|
Image Classification (HP)
|
100% |
3786
704.1 IPS |
|
|
Image Classification (Q)
|
99% |
5655
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4110
66.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7109
115.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10289
166.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9731
11.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
7505
8.76 IPS |
|
|
Pose Estimation (Q)
|
97% |
30027
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
2625
208.2 IPS |
|
|
Object Detection (HP)
|
100% |
1344
106.6 IPS |
|
|
Object Detection (Q)
|
90% |
5838
466.8 IPS |
|
|
Face Detection (SP)
|
100% |
6815
81.0 IPS |
|
|
Face Detection (HP)
|
100% |
11288
134.1 IPS |
|
|
Face Detection (Q)
|
100% |
17502
208.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9616
74.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
15670
121.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
20607
160.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25380
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34090
43.8 IPS |
|
|
Style Transfer (Q)
|
98% |
70264
90.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4196
155.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6316
233.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10554
390.8 IPS |
|
|
Text Classification (SP)
|
71% |
1033
1.49 KIPS |
|
|
Text Classification (HP)
|
71% |
1286
1.86 KIPS |
|
|
Text Classification (Q)
|
92% |
1210
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1604
27.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1984
34.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1973
34.0 IPS |
