LENOVO 21ML002ATX
Geekbench ML Score
2208
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 11:49 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21ML002ATX |
| Motherboard | LENOVO 21ML002ATX |
| 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% |
930
174.0 IPS |
|
|
Image Classification (F16)
|
100% |
877
164.1 IPS |
|
|
Image Classification (I8)
|
99% |
2278
426.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
921
15.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
827
13.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2093
35.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
3440
4.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
3451
4.18 IPS |
|
|
Pose Estimation (I8)
|
100% |
14233
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1094
81.7 IPS |
|
|
Object Detection (F16)
|
100% |
1072
80.1 IPS |
|
|
Object Detection (I8)
|
62% |
1176
87.8 IPS |
|
|
Face Detection (F32)
|
100% |
2067
24.6 IPS |
|
|
Face Detection (F16)
|
100% |
2037
24.2 IPS |
|
|
Face Detection (I8)
|
89% |
3002
35.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3633
28.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3727
28.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
8888
68.9 IPS |
|
|
Style Transfer (F32)
|
100% |
8894
11.7 IPS |
|
|
Style Transfer (F16)
|
100% |
8704
11.4 IPS |
|
|
Style Transfer (I8)
|
98% |
12574
16.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1954
69.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1841
65.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3499
125.0 IPS |
|
|
Text Classification (F32)
|
100% |
1036
1.49 KIPS |
|
|
Text Classification (F16)
|
100% |
1077
1.55 KIPS |
|
|
Text Classification (I8)
|
98% |
407
585.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1280
23.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1305
24.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2156
39.7 IPS |
