LENOVO 21L1CTO1WW
Geekbench ML Score
1702
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 02:58 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% |
650
121.6 IPS |
|
|
Image Classification (F16)
|
100% |
655
122.5 IPS |
|
|
Image Classification (I8)
|
100% |
598
111.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
807
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
790
13.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
716
11.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6955
8.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
6940
8.40 IPS |
|
|
Pose Estimation (I8)
|
100% |
6184
7.49 IPS |
|
|
Object Detection (F32)
|
100% |
667
49.8 IPS |
|
|
Object Detection (F16)
|
100% |
656
49.0 IPS |
|
|
Object Detection (I8)
|
54% |
610
45.5 IPS |
|
|
Face Detection (F32)
|
100% |
916
10.9 IPS |
|
|
Face Detection (F16)
|
100% |
931
11.1 IPS |
|
|
Face Detection (I8)
|
89% |
825
9.81 IPS |
|
|
Depth Estimation (F32)
|
100% |
3801
29.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
3861
29.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
3350
26.0 IPS |
|
|
Style Transfer (F32)
|
100% |
20728
27.3 IPS |
|
|
Style Transfer (F16)
|
100% |
20430
26.9 IPS |
|
|
Style Transfer (I8)
|
98% |
16751
22.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3482
124.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3545
126.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2742
97.9 IPS |
|
|
Text Classification (F32)
|
90% |
654
940.3 IPS |
|
|
Text Classification (F16)
|
90% |
654
939.6 IPS |
|
|
Text Classification (I8)
|
90% |
466
670.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1002
18.4 IPS |
|
|
Machine Translation (F16)
|
100% |
973
17.9 IPS |
|
|
Machine Translation (I8)
|
70% |
572
10.5 IPS |
