LENOVO 83DG
Geekbench AI Score
18131
Single Precision Score
30460
Half Precision Score
14167
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 04:25 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% |
6684
1.24 KIPS |
|
|
Image Classification (HP)
|
99% |
11665
2.18 KIPS |
|
|
Image Classification (Q)
|
99% |
6069
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12274
199.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16830
272.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11691
190.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
97412
113.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
271328
316.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
85946
100.7 IPS |
|
|
Object Detection (SP)
|
100% |
8028
636.8 IPS |
|
|
Object Detection (HP)
|
100% |
16292
1.29 KIPS |
|
|
Object Detection (Q)
|
84% |
7428
599.1 IPS |
|
|
Face Detection (SP)
|
100% |
22521
267.6 IPS |
|
|
Face Detection (HP)
|
100% |
34249
407.0 IPS |
|
|
Face Detection (Q)
|
97% |
19466
232.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
44671
344.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
83313
641.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
36185
289.5 IPS |
|
|
Style Transfer (SP)
|
100% |
150806
193.9 IPS |
|
|
Style Transfer (HP)
|
100% |
366360
471.0 IPS |
|
|
Style Transfer (Q)
|
98% |
138571
178.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29308
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46426
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22842
845.8 IPS |
|
|
Text Classification (SP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
3914
5.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1823
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3825
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4172
71.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1770
33.2 IPS |
