LENOVO 83DG
Geekbench ML Score
1414
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 04 2024 04:39 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DG |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
675
126.3 IPS |
|
|
Image Classification (F16)
|
100% |
677
126.6 IPS |
|
|
Image Classification (I8)
|
100% |
556
104.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
985
16.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
991
16.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
761
12.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5548
6.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
5544
6.71 IPS |
|
|
Pose Estimation (I8)
|
100% |
3597
4.36 IPS |
|
|
Object Detection (F32)
|
100% |
702
52.4 IPS |
|
|
Object Detection (F16)
|
100% |
721
53.8 IPS |
|
|
Object Detection (I8)
|
54% |
593
44.3 IPS |
|
|
Face Detection (F32)
|
100% |
1486
17.7 IPS |
|
|
Face Detection (F16)
|
100% |
1486
17.7 IPS |
|
|
Face Detection (I8)
|
89% |
1072
12.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3063
23.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
3070
23.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
2337
18.1 IPS |
|
|
Style Transfer (F32)
|
100% |
10841
14.3 IPS |
|
|
Style Transfer (F16)
|
100% |
10861
14.3 IPS |
|
|
Style Transfer (I8)
|
98% |
8255
10.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1801
64.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1797
64.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
986
35.2 IPS |
|
|
Text Classification (F32)
|
100% |
738
1.06 KIPS |
|
|
Text Classification (F16)
|
100% |
651
935.5 IPS |
|
|
Text Classification (I8)
|
98% |
363
522.0 IPS |
|
|
Machine Translation (F32)
|
100% |
681
12.5 IPS |
|
|
Machine Translation (F16)
|
100% |
679
12.5 IPS |
|
|
Machine Translation (I8)
|
70% |
408
7.50 IPS |
