LENOVO 82CG
Geekbench AI Score
6479
Single Precision Score
5056
Half Precision Score
4898
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 16 2025 10:53 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 82CG |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2517
468.0 IPS |
|
|
Image Classification (HP)
|
100% |
2340
435.1 IPS |
|
|
Image Classification (Q)
|
99% |
2267
422.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4635
75.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3707
60.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3958
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24272
28.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15698
18.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
21753
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
3173
251.7 IPS |
|
|
Object Detection (HP)
|
100% |
2980
236.3 IPS |
|
|
Object Detection (Q)
|
83% |
2693
217.6 IPS |
|
|
Face Detection (SP)
|
100% |
7458
88.6 IPS |
|
|
Face Detection (HP)
|
100% |
5960
70.8 IPS |
|
|
Face Detection (Q)
|
97% |
6577
78.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14919
114.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11334
87.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11679
93.2 IPS |
|
|
Style Transfer (SP)
|
100% |
44742
57.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30062
38.6 IPS |
|
|
Style Transfer (Q)
|
98% |
38113
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9162
338.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7055
260.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6156
227.9 IPS |
|
|
Text Classification (SP)
|
100% |
1433
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
825
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
825
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2222
38.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2277
39.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1017
19.1 IPS |
