LENOVO 83DV
Geekbench AI Score
3747
Single Precision Score
1529
Half Precision Score
6994
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | jvinkovic |
| Upload Date | August 29 2025 10:29 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13450HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83DV |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balansirano |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13450HX |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2756
512.6 IPS |
|
|
Image Classification (HP)
|
100% |
552
102.7 IPS |
|
|
Image Classification (Q)
|
99% |
5413
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
974
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7795
126.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6179
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
4113
4.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
19998
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
2833
224.7 IPS |
|
|
Object Detection (HP)
|
100% |
726
57.6 IPS |
|
|
Object Detection (Q)
|
86% |
5976
480.2 IPS |
|
|
Face Detection (SP)
|
100% |
6970
82.8 IPS |
|
|
Face Detection (HP)
|
100% |
1672
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
8636
103.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7858
60.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2088
16.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
13625
108.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14238
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9905
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19949
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2815
103.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1982
73.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5359
198.4 IPS |
|
|
Text Classification (SP)
|
100% |
1638
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1547
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1954
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2855
57.4 IPS |
