LENOVO 83DN
Geekbench ML Score
11140
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 26 2025 12:32 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 4050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5288
989.5 IPS |
|
|
Image Classification (F16)
|
100% |
5360
1.00 KIPS |
|
|
Image Classification (I8)
|
100% |
4711
881.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
8043
134.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
7933
132.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
7436
124.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
56047
67.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
56049
67.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
49925
60.5 IPS |
|
|
Object Detection (F32)
|
100% |
4703
351.1 IPS |
|
|
Object Detection (F16)
|
100% |
4267
318.6 IPS |
|
|
Object Detection (I8)
|
61% |
4067
303.6 IPS |
|
|
Face Detection (F32)
|
100% |
14141
168.1 IPS |
|
|
Face Detection (F16)
|
100% |
14464
172.0 IPS |
|
|
Face Detection (I8)
|
89% |
11324
134.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
33431
259.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
29815
231.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
23936
185.6 IPS |
|
|
Style Transfer (F32)
|
100% |
116718
153.5 IPS |
|
|
Style Transfer (F16)
|
100% |
90011
118.4 IPS |
|
|
Style Transfer (I8)
|
98% |
82916
109.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19746
705.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18730
668.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14613
521.9 IPS |
|
|
Text Classification (F32)
|
100% |
2290
3.29 KIPS |
|
|
Text Classification (F16)
|
100% |
2277
3.27 KIPS |
|
|
Text Classification (I8)
|
98% |
1300
1.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
3119
57.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3128
57.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1830
33.7 IPS |
