LENOVO 83DE
Geekbench ML Score
17506
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 17 2024 05:06 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% |
9260
1.73 KIPS |
|
|
Image Classification (F16)
|
100% |
7319
1.37 KIPS |
|
|
Image Classification (I8)
|
100% |
8455
1.58 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12388
206.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
12587
210.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
11373
190.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
140858
170.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
140205
169.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
123666
149.8 IPS |
|
|
Object Detection (F32)
|
100% |
5681
424.1 IPS |
|
|
Object Detection (F16)
|
100% |
5966
445.4 IPS |
|
|
Object Detection (I8)
|
56% |
5475
408.8 IPS |
|
|
Face Detection (F32)
|
100% |
26285
312.5 IPS |
|
|
Face Detection (F16)
|
100% |
26625
316.6 IPS |
|
|
Face Detection (I8)
|
89% |
22901
272.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
53214
412.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
41586
322.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
33857
262.6 IPS |
|
|
Style Transfer (F32)
|
100% |
207502
273.0 IPS |
|
|
Style Transfer (F16)
|
100% |
205248
270.0 IPS |
|
|
Style Transfer (I8)
|
98% |
177149
233.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
28848
1.03 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
29875
1.07 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
22892
817.5 IPS |
|
|
Text Classification (F32)
|
100% |
2160
3.11 KIPS |
|
|
Text Classification (F16)
|
100% |
2142
3.08 KIPS |
|
|
Text Classification (I8)
|
98% |
1215
1.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
4273
78.6 IPS |
|
|
Machine Translation (F16)
|
100% |
4161
76.6 IPS |
|
|
Machine Translation (I8)
|
70% |
2401
44.2 IPS |
