LENOVO 83NC
Geekbench AI Score
3593
Single Precision Score
1552
Half Precision Score
7432
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 23 2026 03:55 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 225H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83NC |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2804
521.5 IPS |
|
|
Image Classification (HP)
|
100% |
603
112.1 IPS |
|
|
Image Classification (Q)
|
99% |
7113
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1658
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1051
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8862
144.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5676
6.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
3828
4.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
19151
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
2489
197.5 IPS |
|
|
Object Detection (HP)
|
100% |
650
51.5 IPS |
|
|
Object Detection (Q)
|
86% |
5928
476.4 IPS |
|
|
Face Detection (SP)
|
100% |
6259
74.4 IPS |
|
|
Face Detection (HP)
|
100% |
1616
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
9254
110.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7671
59.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2190
16.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
15379
122.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14054
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9601
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20509
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2367
87.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1996
73.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5748
212.8 IPS |
|
|
Text Classification (SP)
|
100% |
1639
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1588
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2089
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2697
54.2 IPS |
