LENOVO 21LW0029US
Geekbench ML Score
2144
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 04 2024 08:48 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 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% |
1026
192.1 IPS |
|
|
Image Classification (F16)
|
100% |
995
186.3 IPS |
|
|
Image Classification (I8)
|
99% |
2191
410.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
905
15.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
938
15.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2518
42.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
2946
3.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
3150
3.81 IPS |
|
|
Pose Estimation (I8)
|
100% |
12460
15.1 IPS |
|
|
Object Detection (F32)
|
100% |
1103
82.3 IPS |
|
|
Object Detection (F16)
|
100% |
552
41.2 IPS |
|
|
Object Detection (I8)
|
62% |
917
68.5 IPS |
|
|
Face Detection (F32)
|
100% |
2061
24.5 IPS |
|
|
Face Detection (F16)
|
100% |
2212
26.3 IPS |
|
|
Face Detection (I8)
|
89% |
2314
27.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3557
27.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
3782
29.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
8435
65.4 IPS |
|
|
Style Transfer (F32)
|
100% |
8132
10.7 IPS |
|
|
Style Transfer (F16)
|
100% |
8124
10.7 IPS |
|
|
Style Transfer (I8)
|
98% |
12232
16.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1926
68.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1823
65.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3489
124.6 IPS |
|
|
Text Classification (F32)
|
100% |
983
1.41 KIPS |
|
|
Text Classification (F16)
|
100% |
964
1.39 KIPS |
|
|
Text Classification (I8)
|
98% |
1004
1.44 KIPS |
|
|
Machine Translation (F32)
|
100% |
1400
25.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1124
20.7 IPS |
|
|
Machine Translation (I8)
|
67% |
1594
29.3 IPS |
