LENOVO 83LC
Geekbench AI Score
3159
Single Precision Score
2155
Half Precision Score
8265
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | zaureau15 |
| Upload Date | April 12 2025 11:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83LC |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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% |
1894
352.2 IPS |
|
|
Image Classification (HP)
|
100% |
1365
253.8 IPS |
|
|
Image Classification (Q)
|
100% |
5289
983.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1121
18.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5011
81.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3416
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2236
2.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
12877
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1818
144.2 IPS |
|
|
Object Detection (HP)
|
100% |
1270
100.7 IPS |
|
|
Object Detection (Q)
|
88% |
5325
426.8 IPS |
|
|
Face Detection (SP)
|
100% |
5465
64.9 IPS |
|
|
Face Detection (HP)
|
100% |
4240
50.4 IPS |
|
|
Face Detection (Q)
|
100% |
13335
158.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4636
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3231
24.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
14515
112.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10064
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
6505
8.36 IPS |
|
|
Style Transfer (Q)
|
98% |
36238
46.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2119
78.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1432
52.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7699
285.1 IPS |
|
|
Text Classification (SP)
|
100% |
2115
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1405
1.88 KIPS |
|
|
Text Classification (Q)
|
92% |
4377
5.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3490
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2775
47.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3463
59.7 IPS |
