LENOVO 83LC
Geekbench AI Score
3198
Single Precision Score
23132
Half Precision Score
35449
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | imholyagnostic |
| Upload Date | September 14 2025 04:56 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | LENOVO 83LC |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1924
357.7 IPS |
|
|
Image Classification (HP)
|
100% |
11217
2.09 KIPS |
|
|
Image Classification (Q)
|
100% |
16471
3.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2171
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15905
257.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31370
508.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3444
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
101381
118.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
201517
236.1 IPS |
|
|
Object Detection (SP)
|
100% |
1861
147.6 IPS |
|
|
Object Detection (HP)
|
100% |
15612
1.24 KIPS |
|
|
Object Detection (Q)
|
87% |
22271
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
5641
67.0 IPS |
|
|
Face Detection (HP)
|
100% |
32326
384.1 IPS |
|
|
Face Detection (Q)
|
100% |
66688
792.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4759
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
68537
528.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
108659
845.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10283
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
204502
262.9 IPS |
|
|
Style Transfer (Q)
|
98% |
307786
396.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2142
79.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32154
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55967
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2150
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2758
3.68 KIPS |
|
|
Text Classification (Q)
|
92% |
2778
3.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3297
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3868
66.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3898
67.2 IPS |
