LENOVO 83DE
Geekbench ML Score
9532
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 17 2024 04:57 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83DE |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Quiet 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% |
4697
879.0 IPS |
|
|
Image Classification (F16)
|
100% |
5188
970.7 IPS |
|
|
Image Classification (I8)
|
100% |
3830
716.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
7769
129.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
7589
126.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
7101
118.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
90012
109.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
86513
104.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
76965
93.2 IPS |
|
|
Object Detection (F32)
|
100% |
2898
216.4 IPS |
|
|
Object Detection (F16)
|
100% |
2912
217.4 IPS |
|
|
Object Detection (I8)
|
56% |
2679
200.0 IPS |
|
|
Face Detection (F32)
|
100% |
15397
183.1 IPS |
|
|
Face Detection (F16)
|
100% |
15494
184.2 IPS |
|
|
Face Detection (I8)
|
89% |
13153
156.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
25609
198.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
25743
199.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
20925
162.3 IPS |
|
|
Style Transfer (F32)
|
100% |
123745
162.8 IPS |
|
|
Style Transfer (F16)
|
100% |
124362
163.6 IPS |
|
|
Style Transfer (I8)
|
98% |
108855
143.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14865
530.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15042
537.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
12078
431.3 IPS |
|
|
Text Classification (F32)
|
100% |
1150
1.65 KIPS |
|
|
Text Classification (F16)
|
100% |
1184
1.70 KIPS |
|
|
Text Classification (I8)
|
98% |
745
1.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
1638
30.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1510
27.8 IPS |
|
|
Machine Translation (I8)
|
70% |
913
16.8 IPS |
