LENOVO 83DG
Geekbench AI Score
17033
Single Precision Score
27849
Half Precision Score
13572
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 07:31 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% |
6623
1.23 KIPS |
|
|
Image Classification (HP)
|
99% |
11202
2.09 KIPS |
|
|
Image Classification (Q)
|
99% |
6066
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10855
176.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13511
219.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9818
159.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
97425
113.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
249536
291.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
86122
100.9 IPS |
|
|
Object Detection (SP)
|
100% |
8493
673.6 IPS |
|
|
Object Detection (HP)
|
100% |
14805
1.17 KIPS |
|
|
Object Detection (Q)
|
84% |
7462
601.9 IPS |
|
|
Face Detection (SP)
|
100% |
19899
236.4 IPS |
|
|
Face Detection (HP)
|
100% |
28921
343.6 IPS |
|
|
Face Detection (Q)
|
97% |
18256
217.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
40073
308.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
80065
616.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
33454
267.6 IPS |
|
|
Style Transfer (SP)
|
100% |
151433
194.7 IPS |
|
|
Style Transfer (HP)
|
100% |
373036
479.5 IPS |
|
|
Style Transfer (Q)
|
98% |
136949
176.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27951
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44275
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21137
782.7 IPS |
|
|
Text Classification (SP)
|
100% |
3248
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
3941
5.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1821
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3152
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3330
57.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1721
32.3 IPS |
