LENOVO 83DE
Geekbench ML Score
1478
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 17 2024 05:00 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 | Intel(R) UHD Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
695
130.0 IPS |
|
|
Image Classification (F16)
|
100% |
689
128.9 IPS |
|
|
Image Classification (I8)
|
100% |
570
106.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1036
17.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1035
17.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
795
13.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5481
6.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
5490
6.65 IPS |
|
|
Pose Estimation (I8)
|
100% |
3631
4.40 IPS |
|
|
Object Detection (F32)
|
100% |
749
55.9 IPS |
|
|
Object Detection (F16)
|
100% |
807
60.3 IPS |
|
|
Object Detection (I8)
|
54% |
674
50.3 IPS |
|
|
Face Detection (F32)
|
100% |
1522
18.1 IPS |
|
|
Face Detection (F16)
|
100% |
1523
18.1 IPS |
|
|
Face Detection (I8)
|
89% |
1074
12.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3084
23.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
3105
24.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
2357
18.3 IPS |
|
|
Style Transfer (F32)
|
100% |
11016
14.5 IPS |
|
|
Style Transfer (F16)
|
100% |
11044
14.5 IPS |
|
|
Style Transfer (I8)
|
98% |
8215
10.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1837
65.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1831
65.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
989
35.3 IPS |
|
|
Text Classification (F32)
|
100% |
802
1.15 KIPS |
|
|
Text Classification (F16)
|
100% |
804
1.16 KIPS |
|
|
Text Classification (I8)
|
98% |
402
578.3 IPS |
|
|
Machine Translation (F32)
|
100% |
753
13.9 IPS |
|
|
Machine Translation (F16)
|
100% |
758
13.9 IPS |
|
|
Machine Translation (I8)
|
70% |
437
8.05 IPS |
