LENOVO 83DE
Geekbench ML Score
17225
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 17 2024 05:20 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% |
8536
1.60 KIPS |
|
|
Image Classification (F16)
|
100% |
7641
1.43 KIPS |
|
|
Image Classification (I8)
|
100% |
7915
1.48 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12715
212.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
12440
207.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
10917
182.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
141713
171.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
139998
169.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
122063
147.8 IPS |
|
|
Object Detection (F32)
|
100% |
5867
438.0 IPS |
|
|
Object Detection (F16)
|
100% |
5682
424.2 IPS |
|
|
Object Detection (I8)
|
56% |
5482
409.3 IPS |
|
|
Face Detection (F32)
|
100% |
28471
338.5 IPS |
|
|
Face Detection (F16)
|
100% |
27635
328.6 IPS |
|
|
Face Detection (I8)
|
89% |
23060
274.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
42362
328.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
43021
333.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
34664
268.8 IPS |
|
|
Style Transfer (F32)
|
100% |
206403
271.5 IPS |
|
|
Style Transfer (F16)
|
100% |
205166
269.9 IPS |
|
|
Style Transfer (I8)
|
98% |
182268
239.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
26902
960.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
30197
1.08 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
22178
792.1 IPS |
|
|
Text Classification (F32)
|
100% |
2118
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
2230
3.21 KIPS |
|
|
Text Classification (I8)
|
98% |
1095
1.57 KIPS |
|
|
Machine Translation (F32)
|
100% |
3959
72.9 IPS |
|
|
Machine Translation (F16)
|
100% |
4088
75.2 IPS |
|
|
Machine Translation (I8)
|
70% |
2313
42.6 IPS |
