LENOVO 83DG
Geekbench ML Score
4378
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 04 2024 04:36 PM |
| Views | 3 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2147
401.7 IPS |
|
|
Image Classification (F16)
|
100% |
2275
425.7 IPS |
|
|
Image Classification (I8)
|
99% |
3735
699.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2037
34.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1971
32.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2909
48.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
9429
11.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
9415
11.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
29672
35.9 IPS |
|
|
Object Detection (F32)
|
100% |
2266
169.2 IPS |
|
|
Object Detection (F16)
|
100% |
2373
177.2 IPS |
|
|
Object Detection (I8)
|
62% |
1900
141.8 IPS |
|
|
Face Detection (F32)
|
100% |
4500
53.5 IPS |
|
|
Face Detection (F16)
|
100% |
4523
53.8 IPS |
|
|
Face Detection (I8)
|
89% |
4494
53.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
9187
71.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
9086
70.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
15221
118.0 IPS |
|
|
Style Transfer (F32)
|
100% |
21591
28.4 IPS |
|
|
Style Transfer (F16)
|
100% |
21503
28.3 IPS |
|
|
Style Transfer (I8)
|
98% |
25329
33.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4430
158.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4484
160.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5893
210.5 IPS |
|
|
Text Classification (F32)
|
100% |
1595
2.29 KIPS |
|
|
Text Classification (F16)
|
100% |
1569
2.25 KIPS |
|
|
Text Classification (I8)
|
98% |
496
713.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2380
43.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2181
40.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2944
54.2 IPS |
