LENOVO 21MX
Geekbench ML Score
2451
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 09 2024 01:46 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21MX |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 7 |
| L1 Data Cache | 48.0 KB x 7 |
| L2 Cache | 2.00 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1239
231.9 IPS |
|
|
Image Classification (F16)
|
100% |
1244
232.8 IPS |
|
|
Image Classification (I8)
|
99% |
2393
447.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1013
16.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
946
15.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2085
34.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
3822
4.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
3881
4.70 IPS |
|
|
Pose Estimation (I8)
|
100% |
14809
17.9 IPS |
|
|
Object Detection (F32)
|
100% |
1309
97.7 IPS |
|
|
Object Detection (F16)
|
100% |
1273
95.0 IPS |
|
|
Object Detection (I8)
|
62% |
1328
99.2 IPS |
|
|
Face Detection (F32)
|
100% |
2202
26.2 IPS |
|
|
Face Detection (F16)
|
100% |
2203
26.2 IPS |
|
|
Face Detection (I8)
|
89% |
3083
36.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
4683
36.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
4670
36.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
9815
76.1 IPS |
|
|
Style Transfer (F32)
|
100% |
9605
12.6 IPS |
|
|
Style Transfer (F16)
|
100% |
9365
12.3 IPS |
|
|
Style Transfer (I8)
|
98% |
13755
18.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2021
72.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2045
73.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3655
130.5 IPS |
|
|
Text Classification (F32)
|
100% |
1081
1.55 KIPS |
|
|
Text Classification (F16)
|
100% |
1054
1.52 KIPS |
|
|
Text Classification (I8)
|
98% |
430
617.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1423
26.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1438
26.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2228
41.0 IPS |
