LENOVO 21MX
Geekbench ML Score
2429
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 10:26 PM |
| 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% |
1237
231.5 IPS |
|
|
Image Classification (F16)
|
100% |
1234
230.9 IPS |
|
|
Image Classification (I8)
|
99% |
2388
446.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
916
15.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
949
15.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2110
35.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
3851
4.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
3843
4.65 IPS |
|
|
Pose Estimation (I8)
|
100% |
14372
17.4 IPS |
|
|
Object Detection (F32)
|
100% |
1267
94.6 IPS |
|
|
Object Detection (F16)
|
100% |
1268
94.7 IPS |
|
|
Object Detection (I8)
|
62% |
1323
98.8 IPS |
|
|
Face Detection (F32)
|
100% |
2134
25.4 IPS |
|
|
Face Detection (F16)
|
100% |
2188
26.0 IPS |
|
|
Face Detection (I8)
|
89% |
3123
37.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4680
36.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
4665
36.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
9803
76.0 IPS |
|
|
Style Transfer (F32)
|
100% |
9614
12.6 IPS |
|
|
Style Transfer (F16)
|
100% |
9440
12.4 IPS |
|
|
Style Transfer (I8)
|
98% |
13497
17.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2050
73.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2039
72.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3609
128.9 IPS |
|
|
Text Classification (F32)
|
100% |
1068
1.53 KIPS |
|
|
Text Classification (F16)
|
100% |
1026
1.47 KIPS |
|
|
Text Classification (I8)
|
98% |
429
616.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1444
26.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1393
25.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2230
41.0 IPS |
