LENOVO 21KUZBUJCN
Geekbench ML Score
2144
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 19 2024 03:02 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 21KUZBUJCN |
| Motherboard | LENOVO 21KUZBUJCN |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 22 |
| L1 Data Cache | 32.0 KB x 22 |
| 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% |
831
155.5 IPS |
|
|
Image Classification (F16)
|
100% |
1257
235.2 IPS |
|
|
Image Classification (I8)
|
100% |
1087
203.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
941
15.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
928
15.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
763
12.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
8133
9.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
8140
9.86 IPS |
|
|
Pose Estimation (I8)
|
100% |
6742
8.16 IPS |
|
|
Object Detection (F32)
|
100% |
997
74.5 IPS |
|
|
Object Detection (F16)
|
100% |
1163
86.8 IPS |
|
|
Object Detection (I8)
|
54% |
974
72.7 IPS |
|
|
Face Detection (F32)
|
100% |
547
6.50 IPS |
|
|
Face Detection (F16)
|
100% |
547
6.50 IPS |
|
|
Face Detection (I8)
|
89% |
492
5.86 IPS |
|
|
Depth Estimation (F32)
|
100% |
6328
49.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
6186
48.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
4719
36.6 IPS |
|
|
Style Transfer (F32)
|
100% |
27958
36.8 IPS |
|
|
Style Transfer (F16)
|
100% |
28577
37.6 IPS |
|
|
Style Transfer (I8)
|
98% |
19222
25.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5930
211.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5614
200.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3756
134.1 IPS |
|
|
Text Classification (F32)
|
90% |
814
1.17 KIPS |
|
|
Text Classification (F16)
|
90% |
821
1.18 KIPS |
|
|
Text Classification (I8)
|
90% |
582
836.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1266
23.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1270
23.4 IPS |
|
|
Machine Translation (I8)
|
70% |
703
12.9 IPS |
