LENOVO 83LC
Geekbench AI Score
9655
Single Precision Score
25631
Half Precision Score
29466
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | zaureau15 |
| Upload Date | April 12 2025 11:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| 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% |
7346
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
14324
2.66 KIPS |
|
|
Image Classification (Q)
|
100% |
19258
3.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7861
127.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14832
240.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16603
269.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
23505
27.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
133418
155.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
255689
299.4 IPS |
|
|
Object Detection (SP)
|
100% |
6298
499.5 IPS |
|
|
Object Detection (HP)
|
100% |
16618
1.32 KIPS |
|
|
Object Detection (Q)
|
88% |
17151
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
13707
162.9 IPS |
|
|
Face Detection (HP)
|
100% |
29740
353.4 IPS |
|
|
Face Detection (Q)
|
100% |
37839
449.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
23214
178.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
57811
445.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
71090
552.8 IPS |
|
|
Style Transfer (SP)
|
100% |
53548
68.8 IPS |
|
|
Style Transfer (HP)
|
100% |
160580
206.4 IPS |
|
|
Style Transfer (Q)
|
98% |
179883
232.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9932
366.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29816
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35977
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
3594
4.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5202
6.94 KIPS |
|
|
Text Classification (Q)
|
92% |
3324
4.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1355
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6067
104.5 IPS |
|
|
Machine Translation (Q)
|
100% |
6082
104.8 IPS |
