LENOVO 83DG
Geekbench AI Score
14411
Single Precision Score
27678
Half Precision Score
13404
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 07:29 PM |
| 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 N 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% |
6843
1.27 KIPS |
|
|
Image Classification (HP)
|
99% |
11326
2.11 KIPS |
|
|
Image Classification (Q)
|
99% |
6065
1.13 KIPS |
|
|
Image Segmentation (SP)
|
80% |
10178
169.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13563
219.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9758
158.7 IPS |
|
|
Pose Estimation (SP)
|
19% |
21144
113.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
251317
293.2 IPS |
|
|
Pose Estimation (Q)
|
81% |
83823
100.1 IPS |
|
|
Object Detection (SP)
|
100% |
8183
649.1 IPS |
|
|
Object Detection (HP)
|
100% |
14509
1.15 KIPS |
|
|
Object Detection (Q)
|
84% |
7463
601.9 IPS |
|
|
Face Detection (SP)
|
100% |
19607
233.0 IPS |
|
|
Face Detection (HP)
|
100% |
28500
338.6 IPS |
|
|
Face Detection (Q)
|
97% |
17714
211.2 IPS |
|
|
Depth Estimation (SP)
|
82% |
39029
307.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78936
608.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
33075
264.6 IPS |
|
|
Style Transfer (SP)
|
100% |
149614
192.3 IPS |
|
|
Style Transfer (HP)
|
100% |
373202
479.8 IPS |
|
|
Style Transfer (Q)
|
98% |
136656
176.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27410
1.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43889
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20564
761.5 IPS |
|
|
Text Classification (SP)
|
100% |
3268
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
3831
5.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1867
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3126
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3337
57.5 IPS |
|
|
Machine Translation (Q)
|
67% |
1646
31.9 IPS |
