LENOVO 83DV
Geekbench AI Score
4702
Single Precision Score
4699
Half Precision Score
10696
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 19 2024 06:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.61 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3031
563.7 IPS |
|
|
Image Classification (HP)
|
100% |
2988
555.7 IPS |
|
|
Image Classification (Q)
|
100% |
6547
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3585
58.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3589
58.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6434
104.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5673
6.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
5473
6.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
20954
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
2769
219.6 IPS |
|
|
Object Detection (HP)
|
100% |
2771
219.8 IPS |
|
|
Object Detection (Q)
|
88% |
6843
548.6 IPS |
|
|
Face Detection (SP)
|
100% |
6413
76.2 IPS |
|
|
Face Detection (HP)
|
100% |
6590
78.3 IPS |
|
|
Face Detection (Q)
|
100% |
16096
191.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7519
57.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7487
57.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
18034
140.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16922
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16938
21.8 IPS |
|
|
Style Transfer (Q)
|
98% |
57226
73.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3603
133.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3579
132.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11312
418.9 IPS |
|
|
Text Classification (SP)
|
100% |
2734
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2715
3.62 KIPS |
|
|
Text Classification (Q)
|
92% |
4417
5.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3857
66.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3975
68.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3910
67.3 IPS |
