LENOVO 83DG
Geekbench AI Score
17711
Single Precision Score
30033
Half Precision Score
13976
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 04:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | LENOVO 83DG |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14650HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6748
1.25 KIPS |
|
|
Image Classification (HP)
|
99% |
12726
2.37 KIPS |
|
|
Image Classification (Q)
|
99% |
6284
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12201
197.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17342
281.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11334
184.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
93946
109.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
257227
300.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
84182
98.6 IPS |
|
|
Object Detection (SP)
|
100% |
8736
693.0 IPS |
|
|
Object Detection (HP)
|
100% |
14855
1.18 KIPS |
|
|
Object Detection (Q)
|
84% |
7628
615.2 IPS |
|
|
Face Detection (SP)
|
100% |
20747
246.5 IPS |
|
|
Face Detection (HP)
|
100% |
31982
380.0 IPS |
|
|
Face Detection (Q)
|
97% |
19496
232.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
43358
334.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
84648
652.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
35051
280.4 IPS |
|
|
Style Transfer (SP)
|
100% |
145106
186.5 IPS |
|
|
Style Transfer (HP)
|
100% |
368098
473.2 IPS |
|
|
Style Transfer (Q)
|
98% |
135293
174.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27522
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45913
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20965
776.3 IPS |
|
|
Text Classification (SP)
|
100% |
3314
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
3765
5.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1788
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3776
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4111
70.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1795
33.7 IPS |
