LENOVO 83DE
Geekbench ML Score
17439
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 17 2024 06:05 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% |
8881
1.66 KIPS |
|
|
Image Classification (F16)
|
100% |
7586
1.42 KIPS |
|
|
Image Classification (I8)
|
100% |
7047
1.32 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12344
206.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
12465
208.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
11423
190.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
140735
170.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
139523
169.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
122039
147.8 IPS |
|
|
Object Detection (F32)
|
100% |
5955
444.5 IPS |
|
|
Object Detection (F16)
|
100% |
6039
450.8 IPS |
|
|
Object Detection (I8)
|
56% |
5385
402.0 IPS |
|
|
Face Detection (F32)
|
100% |
26462
314.6 IPS |
|
|
Face Detection (F16)
|
100% |
31101
369.8 IPS |
|
|
Face Detection (I8)
|
89% |
24150
287.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
42089
326.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
42520
329.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
35145
272.5 IPS |
|
|
Style Transfer (F32)
|
100% |
205644
270.5 IPS |
|
|
Style Transfer (F16)
|
100% |
205905
270.9 IPS |
|
|
Style Transfer (I8)
|
98% |
185905
244.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
30277
1.08 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
27548
983.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
22728
811.7 IPS |
|
|
Text Classification (F32)
|
100% |
2265
3.26 KIPS |
|
|
Text Classification (F16)
|
100% |
2276
3.27 KIPS |
|
|
Text Classification (I8)
|
98% |
1172
1.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
4159
76.5 IPS |
|
|
Machine Translation (F16)
|
100% |
4118
75.8 IPS |
|
|
Machine Translation (I8)
|
70% |
2359
43.4 IPS |
