LENOVO 83DE
Geekbench ML Score
17479
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 17 2024 05:16 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83DE |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Performance Mode |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8126
1.52 KIPS |
|
|
Image Classification (F16)
|
100% |
9133
1.71 KIPS |
|
|
Image Classification (I8)
|
100% |
7505
1.40 KIPS |
|
|
Image Segmentation (F32)
|
100% |
15616
260.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
12089
201.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
10934
182.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
140577
170.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
139820
169.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
123161
149.1 IPS |
|
|
Object Detection (F32)
|
100% |
6036
450.6 IPS |
|
|
Object Detection (F16)
|
100% |
5713
426.5 IPS |
|
|
Object Detection (I8)
|
56% |
5322
397.3 IPS |
|
|
Face Detection (F32)
|
100% |
26848
319.2 IPS |
|
|
Face Detection (F16)
|
100% |
29317
348.6 IPS |
|
|
Face Detection (I8)
|
89% |
22203
264.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
53800
417.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
42125
326.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
34690
269.0 IPS |
|
|
Style Transfer (F32)
|
100% |
204724
269.3 IPS |
|
|
Style Transfer (F16)
|
100% |
201311
264.8 IPS |
|
|
Style Transfer (I8)
|
98% |
180098
236.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
27967
998.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
27724
990.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
21700
775.0 IPS |
|
|
Text Classification (F32)
|
100% |
2107
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
2076
2.98 KIPS |
|
|
Text Classification (I8)
|
98% |
1233
1.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
4130
76.0 IPS |
|
|
Machine Translation (F16)
|
100% |
4088
75.2 IPS |
|
|
Machine Translation (I8)
|
70% |
2365
43.5 IPS |
