LENOVO 83DV
Geekbench AI Score
2205
Single Precision Score
870
Half Precision Score
4060
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | reema |
| Upload Date | December 17 2025 02:00 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13650HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DV |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13650HX |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1709
317.9 IPS |
|
|
Image Classification (HP)
|
100% |
306
57.0 IPS |
|
|
Image Classification (Q)
|
99% |
3178
592.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
840
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
550
8.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
4863
79.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3926
4.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2649
3.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
12337
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1787
141.8 IPS |
|
|
Object Detection (HP)
|
100% |
393
31.2 IPS |
|
|
Object Detection (Q)
|
86% |
3269
262.7 IPS |
|
|
Face Detection (SP)
|
100% |
4726
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
894
10.6 IPS |
|
|
Face Detection (Q)
|
97% |
5038
60.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4837
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1181
9.10 IPS |
|
|
Depth Estimation (Q)
|
78% |
7443
59.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9106
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6228
8.01 IPS |
|
|
Style Transfer (Q)
|
98% |
13514
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1492
55.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1162
42.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2968
109.9 IPS |
|
|
Text Classification (SP)
|
100% |
842
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
431
575.0 IPS |
|
|
Text Classification (Q)
|
97% |
793
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1033
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
432
7.43 IPS |
|
|
Machine Translation (Q)
|
65% |
1641
33.0 IPS |
