LENOVO 83DE
Geekbench ML Score
17664
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 17 2024 05:18 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% |
9052
1.69 KIPS |
|
|
Image Classification (F16)
|
100% |
9135
1.71 KIPS |
|
|
Image Classification (I8)
|
100% |
8184
1.53 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14898
248.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
12428
207.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
10981
183.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
140405
170.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
140935
170.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
124689
151.0 IPS |
|
|
Object Detection (F32)
|
100% |
5942
443.6 IPS |
|
|
Object Detection (F16)
|
100% |
6083
454.1 IPS |
|
|
Object Detection (I8)
|
56% |
5354
399.7 IPS |
|
|
Face Detection (F32)
|
100% |
28191
335.2 IPS |
|
|
Face Detection (F16)
|
100% |
27025
321.3 IPS |
|
|
Face Detection (I8)
|
89% |
23306
277.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
49696
385.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
41722
323.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
35037
271.7 IPS |
|
|
Style Transfer (F32)
|
100% |
205453
270.3 IPS |
|
|
Style Transfer (F16)
|
100% |
204656
269.2 IPS |
|
|
Style Transfer (I8)
|
98% |
179512
236.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
30262
1.08 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
27739
990.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
21544
769.4 IPS |
|
|
Text Classification (F32)
|
100% |
2204
3.17 KIPS |
|
|
Text Classification (F16)
|
100% |
2198
3.16 KIPS |
|
|
Text Classification (I8)
|
98% |
1185
1.70 KIPS |
|
|
Machine Translation (F32)
|
100% |
4042
74.4 IPS |
|
|
Machine Translation (F16)
|
100% |
4114
75.7 IPS |
|
|
Machine Translation (I8)
|
70% |
2343
43.1 IPS |
