LENOVO 21KUZBUJCN
Geekbench ML Score
2164
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 19 2024 03:04 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 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% |
1253
234.4 IPS |
|
|
Image Classification (F16)
|
100% |
1190
222.6 IPS |
|
|
Image Classification (I8)
|
100% |
1106
207.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
926
15.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
929
15.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
782
13.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
8125
9.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
8363
10.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
6980
8.45 IPS |
|
|
Object Detection (F32)
|
100% |
1088
81.2 IPS |
|
|
Object Detection (F16)
|
100% |
1063
79.4 IPS |
|
|
Object Detection (I8)
|
54% |
935
69.8 IPS |
|
|
Face Detection (F32)
|
100% |
549
6.53 IPS |
|
|
Face Detection (F16)
|
100% |
549
6.53 IPS |
|
|
Face Detection (I8)
|
89% |
494
5.87 IPS |
|
|
Depth Estimation (F32)
|
100% |
6225
48.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
6379
49.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
4687
36.3 IPS |
|
|
Style Transfer (F32)
|
100% |
28791
37.9 IPS |
|
|
Style Transfer (F16)
|
100% |
28553
37.6 IPS |
|
|
Style Transfer (I8)
|
98% |
19211
25.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4961
177.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5796
207.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3718
132.8 IPS |
|
|
Text Classification (F32)
|
90% |
784
1.13 KIPS |
|
|
Text Classification (F16)
|
90% |
819
1.18 KIPS |
|
|
Text Classification (I8)
|
90% |
595
854.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1256
23.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1280
23.6 IPS |
|
|
Machine Translation (I8)
|
70% |
708
13.0 IPS |
