LENOVO 21LW0029US
Geekbench ML Score
1792
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 04 2024 08:59 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 | DirectML |
| Device | Intel(R) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
662
123.8 IPS |
|
|
Image Classification (F16)
|
100% |
650
121.7 IPS |
|
|
Image Classification (I8)
|
100% |
578
108.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
818
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
817
13.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
728
12.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
7362
8.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
7378
8.93 IPS |
|
|
Pose Estimation (I8)
|
100% |
6595
7.99 IPS |
|
|
Object Detection (F32)
|
100% |
652
48.7 IPS |
|
|
Object Detection (F16)
|
100% |
644
48.1 IPS |
|
|
Object Detection (I8)
|
54% |
573
42.8 IPS |
|
|
Face Detection (F32)
|
100% |
1013
12.0 IPS |
|
|
Face Detection (F16)
|
100% |
1016
12.1 IPS |
|
|
Face Detection (I8)
|
89% |
893
10.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3762
29.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3788
29.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
3298
25.6 IPS |
|
|
Style Transfer (F32)
|
100% |
20069
26.4 IPS |
|
|
Style Transfer (F16)
|
100% |
20392
26.8 IPS |
|
|
Style Transfer (I8)
|
98% |
16564
21.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4033
144.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3681
131.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2719
97.1 IPS |
|
|
Text Classification (F32)
|
90% |
654
939.9 IPS |
|
|
Text Classification (F16)
|
90% |
635
913.2 IPS |
|
|
Text Classification (I8)
|
90% |
457
656.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1529
28.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1549
28.5 IPS |
|
|
Machine Translation (I8)
|
70% |
729
13.4 IPS |
