LENOVO 21LW0029US
Geekbench ML Score
2075
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 04 2024 08:51 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21LW0029US |
| Motherboard | LENOVO 21LW0029US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 14 |
| L1 Data Cache | 32.0 KB x 14 |
| 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% |
941
176.1 IPS |
|
|
Image Classification (F16)
|
100% |
990
185.2 IPS |
|
|
Image Classification (I8)
|
99% |
2193
410.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
939
15.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
934
15.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2480
41.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
2899
3.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
2681
3.25 IPS |
|
|
Pose Estimation (I8)
|
100% |
13312
16.1 IPS |
|
|
Object Detection (F32)
|
100% |
1056
78.8 IPS |
|
|
Object Detection (F16)
|
100% |
1029
76.8 IPS |
|
|
Object Detection (I8)
|
62% |
1185
88.4 IPS |
|
|
Face Detection (F32)
|
100% |
2308
27.4 IPS |
|
|
Face Detection (F16)
|
100% |
2231
26.5 IPS |
|
|
Face Detection (I8)
|
89% |
2758
32.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2601
20.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3365
26.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
8508
66.0 IPS |
|
|
Style Transfer (F32)
|
100% |
8330
11.0 IPS |
|
|
Style Transfer (F16)
|
100% |
4874
6.41 IPS |
|
|
Style Transfer (I8)
|
98% |
10422
13.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1125
40.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1487
53.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2675
95.5 IPS |
|
|
Text Classification (F32)
|
100% |
905
1.30 KIPS |
|
|
Text Classification (F16)
|
100% |
1014
1.46 KIPS |
|
|
Text Classification (I8)
|
98% |
997
1.43 KIPS |
|
|
Machine Translation (F32)
|
100% |
1310
24.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1116
20.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2058
37.9 IPS |
