LENOVO 83LC
Geekbench AI Score
8763
Single Precision Score
17125
Half Precision Score
5951
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | imholyagnostic |
| Upload Date | September 14 2025 04:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| 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% |
4900
911.3 IPS |
|
|
Image Classification (HP)
|
100% |
7052
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
3191
593.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7124
115.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14159
229.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5066
82.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
23392
27.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
106931
124.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
19441
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
5222
414.2 IPS |
|
|
Object Detection (HP)
|
100% |
8444
669.8 IPS |
|
|
Object Detection (Q)
|
88% |
4136
331.7 IPS |
|
|
Face Detection (SP)
|
100% |
9701
115.3 IPS |
|
|
Face Detection (HP)
|
100% |
18318
217.7 IPS |
|
|
Face Detection (Q)
|
97% |
7213
86.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20364
156.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
43712
336.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
14262
114.0 IPS |
|
|
Style Transfer (SP)
|
100% |
57189
73.5 IPS |
|
|
Style Transfer (HP)
|
100% |
175187
225.2 IPS |
|
|
Style Transfer (Q)
|
98% |
41807
53.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9558
352.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21972
811.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6212
230.0 IPS |
|
|
Text Classification (SP)
|
100% |
1642
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2047
2.73 KIPS |
|
|
Text Classification (Q)
|
97% |
971
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3533
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3815
65.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1654
31.0 IPS |
