LENOVO 21MX
Geekbench ML Score
1494
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 09 2024 02:39 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 | DirectML |
| Device | Intel(R) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
606
113.4 IPS |
|
|
Image Classification (F16)
|
100% |
625
116.9 IPS |
|
|
Image Classification (I8)
|
100% |
551
103.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
676
11.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
667
11.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
578
9.66 IPS |
|
|
Pose Estimation (F32)
|
100% |
6062
7.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
6057
7.33 IPS |
|
|
Pose Estimation (I8)
|
100% |
5265
6.38 IPS |
|
|
Object Detection (F32)
|
100% |
613
45.8 IPS |
|
|
Object Detection (F16)
|
100% |
599
44.7 IPS |
|
|
Object Detection (I8)
|
54% |
562
42.0 IPS |
|
|
Face Detection (F32)
|
100% |
608
7.22 IPS |
|
|
Face Detection (F16)
|
100% |
609
7.24 IPS |
|
|
Face Detection (I8)
|
89% |
541
6.43 IPS |
|
|
Depth Estimation (F32)
|
100% |
3466
26.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
3490
27.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
2917
22.6 IPS |
|
|
Style Transfer (F32)
|
100% |
17543
23.1 IPS |
|
|
Style Transfer (F16)
|
100% |
18104
23.8 IPS |
|
|
Style Transfer (I8)
|
98% |
13727
18.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3514
125.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3716
132.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2392
85.4 IPS |
|
|
Text Classification (F32)
|
90% |
648
930.7 IPS |
|
|
Text Classification (F16)
|
90% |
646
928.4 IPS |
|
|
Text Classification (I8)
|
90% |
457
656.7 IPS |
|
|
Machine Translation (F32)
|
100% |
903
16.6 IPS |
|
|
Machine Translation (F16)
|
100% |
891
16.4 IPS |
|
|
Machine Translation (I8)
|
70% |
534
9.83 IPS |
