LENOVO 83DV
Geekbench AI Score
3558
Single Precision Score
1440
Half Precision Score
5187
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 17 2024 05:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13450HX |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | LENOVO 83DV |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13450HX |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.61 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2741
509.7 IPS |
|
|
Image Classification (HP)
|
100% |
509
94.7 IPS |
|
|
Image Classification (Q)
|
99% |
5762
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1558
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1056
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2391
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5759
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3785
4.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
19810
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
2579
204.6 IPS |
|
|
Object Detection (HP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (Q)
|
86% |
5191
417.2 IPS |
|
|
Face Detection (SP)
|
100% |
6144
73.0 IPS |
|
|
Face Detection (HP)
|
100% |
1572
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
7714
92.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7472
57.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2182
16.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
13194
105.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13733
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9326
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20633
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2571
94.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1818
67.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3805
140.9 IPS |
|
|
Text Classification (SP)
|
100% |
1674
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
732
976.8 IPS |
|
|
Text Classification (Q)
|
97% |
492
658.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1891
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2536
51.0 IPS |
