LENOVO 83DE
Geekbench ML Score
17593
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 17 2024 05:02 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% |
8519
1.59 KIPS |
|
|
Image Classification (F16)
|
100% |
7317
1.37 KIPS |
|
|
Image Classification (I8)
|
100% |
8673
1.62 KIPS |
|
|
Image Segmentation (F32)
|
100% |
15662
261.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
12085
201.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
11357
189.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
138653
167.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
141060
170.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
123317
149.3 IPS |
|
|
Object Detection (F32)
|
100% |
5985
446.8 IPS |
|
|
Object Detection (F16)
|
100% |
6017
449.2 IPS |
|
|
Object Detection (I8)
|
56% |
5443
406.4 IPS |
|
|
Face Detection (F32)
|
100% |
26138
310.8 IPS |
|
|
Face Detection (F16)
|
100% |
26187
311.4 IPS |
|
|
Face Detection (I8)
|
89% |
21847
259.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
55035
426.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
41892
324.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
33689
261.3 IPS |
|
|
Style Transfer (F32)
|
100% |
199658
262.6 IPS |
|
|
Style Transfer (F16)
|
100% |
207027
272.3 IPS |
|
|
Style Transfer (I8)
|
98% |
184094
242.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
31016
1.11 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
30698
1.10 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
22472
802.5 IPS |
|
|
Text Classification (F32)
|
100% |
2160
3.10 KIPS |
|
|
Text Classification (F16)
|
100% |
2155
3.10 KIPS |
|
|
Text Classification (I8)
|
98% |
1112
1.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
4214
77.5 IPS |
|
|
Machine Translation (F16)
|
100% |
4207
77.4 IPS |
|
|
Machine Translation (I8)
|
70% |
2408
44.3 IPS |
