LENOVO 21L1CTO1WW
Geekbench ML Score
1704
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 02:54 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21L1CTO1WW |
| Motherboard | LENOVO 21L1CTO1WW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 165U |
| 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% |
659
123.3 IPS |
|
|
Image Classification (F16)
|
100% |
669
125.3 IPS |
|
|
Image Classification (I8)
|
100% |
604
113.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
808
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
797
13.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
718
12.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6827
8.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
6949
8.41 IPS |
|
|
Pose Estimation (I8)
|
100% |
6189
7.49 IPS |
|
|
Object Detection (F32)
|
100% |
662
49.4 IPS |
|
|
Object Detection (F16)
|
100% |
654
48.8 IPS |
|
|
Object Detection (I8)
|
54% |
610
45.6 IPS |
|
|
Face Detection (F32)
|
100% |
911
10.8 IPS |
|
|
Face Detection (F16)
|
100% |
932
11.1 IPS |
|
|
Face Detection (I8)
|
89% |
825
9.81 IPS |
|
|
Depth Estimation (F32)
|
100% |
3815
29.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
3870
30.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
3353
26.0 IPS |
|
|
Style Transfer (F32)
|
100% |
20762
27.3 IPS |
|
|
Style Transfer (F16)
|
100% |
20351
26.8 IPS |
|
|
Style Transfer (I8)
|
98% |
16796
22.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3501
125.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3801
135.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2616
93.4 IPS |
|
|
Text Classification (F32)
|
90% |
654
939.4 IPS |
|
|
Text Classification (F16)
|
90% |
654
940.0 IPS |
|
|
Text Classification (I8)
|
90% |
465
667.6 IPS |
|
|
Machine Translation (F32)
|
100% |
975
18.0 IPS |
|
|
Machine Translation (F16)
|
100% |
982
18.1 IPS |
|
|
Machine Translation (I8)
|
70% |
569
10.5 IPS |
