LENOVO 83DG
Geekbench AI Score
11766
Single Precision Score
30293
Half Precision Score
11233
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 04:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | LENOVO 83DG |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14650HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7037
1.31 KIPS |
|
|
Image Classification (HP)
|
99% |
13073
2.44 KIPS |
|
|
Image Classification (Q)
|
100% |
6505
1.21 KIPS |
|
|
Image Segmentation (SP)
|
86% |
12059
198.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17029
276.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11083
180.2 IPS |
|
|
Pose Estimation (SP)
|
20% |
2037
89.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
231944
270.6 IPS |
|
|
Pose Estimation (Q)
|
86% |
66577
78.7 IPS |
|
|
Object Detection (SP)
|
100% |
8347
662.1 IPS |
|
|
Object Detection (HP)
|
100% |
16111
1.28 KIPS |
|
|
Object Detection (Q)
|
86% |
7340
590.3 IPS |
|
|
Face Detection (SP)
|
100% |
20248
240.6 IPS |
|
|
Face Detection (HP)
|
100% |
33776
401.3 IPS |
|
|
Face Detection (Q)
|
97% |
19279
229.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
41641
320.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
83840
645.9 IPS |
|
|
Depth Estimation (Q)
|
46% |
12966
259.1 IPS |
|
|
Style Transfer (SP)
|
64% |
139745
184.9 IPS |
|
|
Style Transfer (HP)
|
100% |
368854
474.2 IPS |
|
|
Style Transfer (Q)
|
93% |
128708
166.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23369
862.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46824
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19428
719.4 IPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
99% |
4018
5.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1821
2.44 KIPS |
|
|
Machine Translation (SP)
|
91% |
3738
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3982
68.6 IPS |
|
|
Machine Translation (Q)
|
47% |
798
33.4 IPS |
