LENOVO 83DG
Geekbench AI Score
15962
Single Precision Score
30710
Half Precision Score
14155
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 04:29 AM |
| Views | 1 |
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% |
7138
1.33 KIPS |
|
|
Image Classification (HP)
|
99% |
13014
2.43 KIPS |
|
|
Image Classification (Q)
|
99% |
6434
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12527
203.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16768
271.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11167
181.6 IPS |
|
|
Pose Estimation (SP)
|
44% |
33161
114.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
272189
317.6 IPS |
|
|
Pose Estimation (Q)
|
84% |
85804
101.8 IPS |
|
|
Object Detection (SP)
|
100% |
8795
697.6 IPS |
|
|
Object Detection (HP)
|
100% |
15961
1.27 KIPS |
|
|
Object Detection (Q)
|
86% |
7676
618.2 IPS |
|
|
Face Detection (SP)
|
100% |
20987
249.4 IPS |
|
|
Face Detection (HP)
|
100% |
32967
391.7 IPS |
|
|
Face Detection (Q)
|
97% |
18512
220.7 IPS |
|
|
Depth Estimation (SP)
|
62% |
34895
332.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
83610
644.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
35452
283.5 IPS |
|
|
Style Transfer (SP)
|
84% |
146480
191.6 IPS |
|
|
Style Transfer (HP)
|
100% |
354915
456.2 IPS |
|
|
Style Transfer (Q)
|
98% |
136046
175.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29526
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49115
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22124
819.2 IPS |
|
|
Text Classification (SP)
|
100% |
3377
4.51 KIPS |
|
|
Text Classification (HP)
|
99% |
3971
5.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1964
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3850
66.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4125
71.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1760
33.0 IPS |
