LENOVO 83DN
Geekbench ML Score
11150
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 29 2025 11:10 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DN |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5442
1.02 KIPS |
|
|
Image Classification (F16)
|
100% |
5335
998.3 IPS |
|
|
Image Classification (I8)
|
100% |
4813
900.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
8166
136.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
8175
136.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
7447
124.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
62083
75.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
63323
76.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
56149
68.0 IPS |
|
|
Object Detection (F32)
|
100% |
4224
315.4 IPS |
|
|
Object Detection (F16)
|
100% |
4307
321.5 IPS |
|
|
Object Detection (I8)
|
61% |
3982
297.2 IPS |
|
|
Face Detection (F32)
|
100% |
15242
181.2 IPS |
|
|
Face Detection (F16)
|
100% |
15340
182.4 IPS |
|
|
Face Detection (I8)
|
89% |
13857
164.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
26251
203.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
34063
264.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
28231
218.9 IPS |
|
|
Style Transfer (F32)
|
100% |
130166
171.2 IPS |
|
|
Style Transfer (F16)
|
100% |
97452
128.2 IPS |
|
|
Style Transfer (I8)
|
98% |
88767
116.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
18104
646.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17661
630.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14262
509.3 IPS |
|
|
Text Classification (F32)
|
100% |
1672
2.40 KIPS |
|
|
Text Classification (F16)
|
100% |
1776
2.55 KIPS |
|
|
Text Classification (I8)
|
98% |
1085
1.56 KIPS |
|
|
Machine Translation (F32)
|
100% |
3081
56.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3070
56.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1846
34.0 IPS |
