LENOVO 83DG
Geekbench AI Score
17472
Single Precision Score
29333
Half Precision Score
13586
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 23 2025 10:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DG |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6800
1.26 KIPS |
|
|
Image Classification (HP)
|
99% |
11795
2.20 KIPS |
|
|
Image Classification (Q)
|
99% |
5886
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12257
198.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16823
272.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10821
176.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
91019
106.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
257308
300.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
79583
93.2 IPS |
|
|
Object Detection (SP)
|
100% |
8553
678.5 IPS |
|
|
Object Detection (HP)
|
100% |
15406
1.22 KIPS |
|
|
Object Detection (Q)
|
84% |
7537
607.9 IPS |
|
|
Face Detection (SP)
|
100% |
20604
244.8 IPS |
|
|
Face Detection (HP)
|
100% |
31802
377.9 IPS |
|
|
Face Detection (Q)
|
97% |
17938
213.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
40197
309.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
81366
626.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
34713
277.7 IPS |
|
|
Style Transfer (SP)
|
100% |
140225
180.3 IPS |
|
|
Style Transfer (HP)
|
100% |
335080
430.8 IPS |
|
|
Style Transfer (Q)
|
98% |
125430
161.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28294
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46026
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21279
787.9 IPS |
|
|
Text Classification (SP)
|
100% |
3188
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
3628
4.84 KIPS |
|
|
Text Classification (Q)
|
97% |
1839
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3902
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4141
71.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1835
34.4 IPS |
