LENOVO 83JE
Geekbench ML Score
712
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 29 2025 01:22 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83JE |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13450HX |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 20.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
330
61.7 IPS |
|
|
Image Classification (F16)
|
100% |
329
61.5 IPS |
|
|
Image Classification (I8)
|
100% |
273
51.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
478
7.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
474
7.92 IPS |
|
|
Image Segmentation (I8)
|
98% |
372
6.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
2456
2.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
2456
2.97 IPS |
|
|
Pose Estimation (I8)
|
100% |
1741
2.11 IPS |
|
|
Object Detection (F32)
|
100% |
351
26.2 IPS |
|
|
Object Detection (F16)
|
100% |
356
26.6 IPS |
|
|
Object Detection (I8)
|
54% |
286
21.4 IPS |
|
|
Face Detection (F32)
|
100% |
703
8.36 IPS |
|
|
Face Detection (F16)
|
100% |
701
8.34 IPS |
|
|
Face Detection (I8)
|
89% |
512
6.09 IPS |
|
|
Depth Estimation (F32)
|
100% |
1449
11.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
1448
11.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
1129
8.76 IPS |
|
|
Style Transfer (F32)
|
100% |
4949
6.51 IPS |
|
|
Style Transfer (F16)
|
100% |
4954
6.52 IPS |
|
|
Style Transfer (I8)
|
98% |
3845
5.06 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
891
31.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
889
31.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
506
18.1 IPS |
|
|
Text Classification (F32)
|
100% |
370
531.6 IPS |
|
|
Text Classification (F16)
|
100% |
398
571.7 IPS |
|
|
Text Classification (I8)
|
98% |
220
316.4 IPS |
|
|
Machine Translation (F32)
|
100% |
461
8.48 IPS |
|
|
Machine Translation (F16)
|
100% |
448
8.24 IPS |
|
|
Machine Translation (I8)
|
70% |
265
4.88 IPS |
