LENOVO 21LW0029US
Geekbench ML Score
2329
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 04 2024 08:56 PM |
| Views | 3 |
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 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% |
975
182.4 IPS |
|
|
Image Classification (F16)
|
100% |
996
186.3 IPS |
|
|
Image Classification (I8)
|
99% |
2241
419.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
881
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
926
15.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2533
42.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
3131
3.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
3457
4.19 IPS |
|
|
Pose Estimation (I8)
|
100% |
13468
16.3 IPS |
|
|
Object Detection (F32)
|
100% |
1113
83.1 IPS |
|
|
Object Detection (F16)
|
100% |
1122
83.7 IPS |
|
|
Object Detection (I8)
|
62% |
1296
96.8 IPS |
|
|
Face Detection (F32)
|
100% |
2523
30.0 IPS |
|
|
Face Detection (F16)
|
100% |
2542
30.2 IPS |
|
|
Face Detection (I8)
|
89% |
3245
38.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3690
28.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
3734
29.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
8767
68.0 IPS |
|
|
Style Transfer (F32)
|
100% |
8832
11.6 IPS |
|
|
Style Transfer (F16)
|
100% |
8335
11.0 IPS |
|
|
Style Transfer (I8)
|
98% |
14235
18.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1788
63.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1768
63.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3157
112.8 IPS |
|
|
Text Classification (F32)
|
100% |
952
1.37 KIPS |
|
|
Text Classification (F16)
|
100% |
1014
1.46 KIPS |
|
|
Text Classification (I8)
|
98% |
990
1.42 KIPS |
|
|
Machine Translation (F32)
|
100% |
1303
24.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1337
24.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2235
41.1 IPS |
