LENOVO 83DG
Geekbench AI Score
16555
Single Precision Score
28935
Half Precision Score
13172
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 04:12 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% |
6173
1.15 KIPS |
|
|
Image Classification (HP)
|
99% |
11933
2.23 KIPS |
|
|
Image Classification (Q)
|
99% |
6245
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11780
191.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15749
255.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10811
175.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
89688
104.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
245900
286.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
77450
90.7 IPS |
|
|
Object Detection (SP)
|
100% |
7463
592.0 IPS |
|
|
Object Detection (HP)
|
100% |
16285
1.29 KIPS |
|
|
Object Detection (Q)
|
84% |
7171
578.4 IPS |
|
|
Face Detection (SP)
|
100% |
21283
252.9 IPS |
|
|
Face Detection (HP)
|
100% |
31084
369.4 IPS |
|
|
Face Detection (Q)
|
97% |
16957
202.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
37214
286.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
77504
597.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
32690
261.5 IPS |
|
|
Style Transfer (SP)
|
100% |
134060
172.3 IPS |
|
|
Style Transfer (HP)
|
100% |
329268
423.3 IPS |
|
|
Style Transfer (Q)
|
98% |
125482
161.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27989
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48391
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22439
830.9 IPS |
|
|
Text Classification (SP)
|
100% |
3281
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
3904
5.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1749
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3260
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3648
62.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1537
28.8 IPS |
