LENOVO 21KC009XUS
Geekbench ML Score
1730
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 28 2024 05:41 PM |
| Views | 20 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KC009XUS |
| Motherboard | LENOVO 21KC009XUS |
| Power Plan | Lenovo PRLAB |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
646
120.8 IPS |
|
|
Image Classification (F16)
|
100% |
640
119.8 IPS |
|
|
Image Classification (I8)
|
100% |
595
111.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
809
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
798
13.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
730
12.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
7333
8.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
7339
8.89 IPS |
|
|
Pose Estimation (I8)
|
100% |
6447
7.81 IPS |
|
|
Object Detection (F32)
|
100% |
630
47.0 IPS |
|
|
Object Detection (F16)
|
100% |
624
46.6 IPS |
|
|
Object Detection (I8)
|
54% |
589
44.0 IPS |
|
|
Face Detection (F32)
|
100% |
1027
12.2 IPS |
|
|
Face Detection (F16)
|
100% |
1033
12.3 IPS |
|
|
Face Detection (I8)
|
89% |
919
10.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3793
29.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
3828
29.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
3334
25.9 IPS |
|
|
Style Transfer (F32)
|
100% |
20666
27.2 IPS |
|
|
Style Transfer (F16)
|
100% |
20135
26.5 IPS |
|
|
Style Transfer (I8)
|
98% |
16832
22.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3914
139.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3765
134.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2799
100.0 IPS |
|
|
Text Classification (F32)
|
90% |
646
929.0 IPS |
|
|
Text Classification (F16)
|
90% |
644
925.9 IPS |
|
|
Text Classification (I8)
|
90% |
453
650.9 IPS |
|
|
Machine Translation (F32)
|
100% |
992
18.2 IPS |
|
|
Machine Translation (F16)
|
100% |
999
18.4 IPS |
|
|
Machine Translation (I8)
|
70% |
584
10.7 IPS |
