LENOVO 21KUZBUACN
Geekbench ML Score
2368
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 19 2024 01:31 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% |
1288
241.1 IPS |
|
|
Image Classification (F16)
|
100% |
1293
241.9 IPS |
|
|
Image Classification (I8)
|
100% |
1121
209.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1074
17.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1073
17.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
895
15.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
9577
11.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
9575
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
7932
9.61 IPS |
|
|
Object Detection (F32)
|
100% |
1148
85.7 IPS |
|
|
Object Detection (F16)
|
100% |
1160
86.6 IPS |
|
|
Object Detection (I8)
|
54% |
893
66.6 IPS |
|
|
Face Detection (F32)
|
100% |
663
7.88 IPS |
|
|
Face Detection (F16)
|
100% |
662
7.88 IPS |
|
|
Face Detection (I8)
|
89% |
595
7.08 IPS |
|
|
Depth Estimation (F32)
|
100% |
6695
51.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
6683
51.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
5221
40.5 IPS |
|
|
Style Transfer (F32)
|
100% |
31187
41.0 IPS |
|
|
Style Transfer (F16)
|
100% |
30357
39.9 IPS |
|
|
Style Transfer (I8)
|
98% |
21332
28.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5867
209.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5877
209.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3978
142.1 IPS |
|
|
Text Classification (F32)
|
90% |
825
1.19 KIPS |
|
|
Text Classification (F16)
|
90% |
810
1.16 KIPS |
|
|
Text Classification (I8)
|
90% |
604
867.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1405
25.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1412
26.0 IPS |
|
|
Machine Translation (I8)
|
70% |
762
14.0 IPS |
