LENOVO 83DV
Geekbench AI Score
14729
Single Precision Score
26525
Half Precision Score
11630
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | jvinkovic |
| Upload Date | August 29 2025 10:32 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| 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% |
6143
1.14 KIPS |
|
|
Image Classification (HP)
|
99% |
11399
2.13 KIPS |
|
|
Image Classification (Q)
|
99% |
5920
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10109
163.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13975
226.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9183
149.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
76865
89.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
219169
255.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
67231
78.8 IPS |
|
|
Object Detection (SP)
|
100% |
6138
486.9 IPS |
|
|
Object Detection (HP)
|
100% |
12205
968.1 IPS |
|
|
Object Detection (Q)
|
84% |
6238
503.2 IPS |
|
|
Face Detection (SP)
|
100% |
16501
196.1 IPS |
|
|
Face Detection (HP)
|
100% |
28568
339.4 IPS |
|
|
Face Detection (Q)
|
97% |
14306
170.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
34727
267.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
73278
564.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
27640
221.1 IPS |
|
|
Style Transfer (SP)
|
100% |
119484
153.6 IPS |
|
|
Style Transfer (HP)
|
100% |
318755
409.8 IPS |
|
|
Style Transfer (Q)
|
98% |
112281
144.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22979
848.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41808
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17719
656.1 IPS |
|
|
Text Classification (SP)
|
100% |
3059
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3697
4.93 KIPS |
|
|
Text Classification (Q)
|
97% |
1747
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3410
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3924
67.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1445
27.1 IPS |
