LENOVO 83JE
Geekbench ML Score
3014
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 29 2025 01:14 PM |
| Views | 2 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1637
306.4 IPS |
|
|
Image Classification (F16)
|
100% |
1640
306.9 IPS |
|
|
Image Classification (I8)
|
99% |
3103
580.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1339
22.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1298
21.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2646
44.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5465
6.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
5177
6.27 IPS |
|
|
Pose Estimation (I8)
|
100% |
17330
21.0 IPS |
|
|
Object Detection (F32)
|
100% |
1581
118.1 IPS |
|
|
Object Detection (F16)
|
100% |
1549
115.7 IPS |
|
|
Object Detection (I8)
|
62% |
1603
119.7 IPS |
|
|
Face Detection (F32)
|
100% |
2143
25.5 IPS |
|
|
Face Detection (F16)
|
100% |
2086
24.8 IPS |
|
|
Face Detection (I8)
|
89% |
3009
35.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5499
42.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
5572
43.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
10892
84.5 IPS |
|
|
Style Transfer (F32)
|
100% |
11856
15.6 IPS |
|
|
Style Transfer (F16)
|
100% |
11867
15.6 IPS |
|
|
Style Transfer (I8)
|
98% |
13674
18.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2620
93.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2772
99.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3940
140.7 IPS |
|
|
Text Classification (F32)
|
100% |
1447
2.08 KIPS |
|
|
Text Classification (F16)
|
100% |
1390
2.00 KIPS |
|
|
Text Classification (I8)
|
98% |
1168
1.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
1533
28.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1533
28.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2364
43.5 IPS |
