LENOVO 83LC
Geekbench AI Score
3190
Single Precision Score
2189
Half Precision Score
8343
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | imholyagnostic |
| Upload Date | September 14 2025 04:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| 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% |
1828
339.9 IPS |
|
|
Image Classification (HP)
|
100% |
1385
257.5 IPS |
|
|
Image Classification (Q)
|
100% |
5411
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1119
18.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4991
80.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3432
4.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2242
2.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
13340
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1851
146.8 IPS |
|
|
Object Detection (HP)
|
100% |
1313
104.1 IPS |
|
|
Object Detection (Q)
|
88% |
5677
455.1 IPS |
|
|
Face Detection (SP)
|
100% |
5610
66.7 IPS |
|
|
Face Detection (HP)
|
100% |
4423
52.6 IPS |
|
|
Face Detection (Q)
|
100% |
13727
163.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4819
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3281
25.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
14153
110.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10288
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6539
8.41 IPS |
|
|
Style Transfer (Q)
|
98% |
36812
47.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2130
78.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1431
52.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7626
282.4 IPS |
|
|
Text Classification (SP)
|
100% |
2204
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1421
1.90 KIPS |
|
|
Text Classification (Q)
|
92% |
4445
5.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3365
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2880
49.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3299
56.8 IPS |
