LENOVO 21KUZBUACN
Geekbench ML Score
2376
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 19 2024 01:36 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 21KUZBUACN |
| Motherboard | LENOVO 21KUZBUACN |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 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% |
1279
239.4 IPS |
|
|
Image Classification (F16)
|
100% |
1278
239.1 IPS |
|
|
Image Classification (I8)
|
100% |
1126
210.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1073
17.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1077
18.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
896
15.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
9578
11.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
9584
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
7939
9.61 IPS |
|
|
Object Detection (F32)
|
100% |
1138
85.0 IPS |
|
|
Object Detection (F16)
|
100% |
1205
90.0 IPS |
|
|
Object Detection (I8)
|
54% |
910
68.0 IPS |
|
|
Face Detection (F32)
|
100% |
664
7.89 IPS |
|
|
Face Detection (F16)
|
100% |
662
7.88 IPS |
|
|
Face Detection (I8)
|
89% |
595
7.08 IPS |
|
|
Depth Estimation (F32)
|
100% |
6644
51.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
6767
52.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
5212
40.4 IPS |
|
|
Style Transfer (F32)
|
100% |
30743
40.4 IPS |
|
|
Style Transfer (F16)
|
100% |
30924
40.7 IPS |
|
|
Style Transfer (I8)
|
98% |
21530
28.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6561
234.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5938
212.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3824
136.6 IPS |
|
|
Text Classification (F32)
|
90% |
797
1.15 KIPS |
|
|
Text Classification (F16)
|
90% |
809
1.16 KIPS |
|
|
Text Classification (I8)
|
90% |
587
843.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1415
26.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1420
26.1 IPS |
|
|
Machine Translation (I8)
|
70% |
771
14.2 IPS |
