LENOVO 21KUZBUJCN
Geekbench ML Score
9699
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 19 2024 08:49 AM |
| Views | 3 |
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 | NVIDIA GeForce RTX 4050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4907
918.3 IPS |
|
|
Image Classification (F16)
|
100% |
4999
935.4 IPS |
|
|
Image Classification (I8)
|
100% |
4484
839.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
5638
94.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
5424
90.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
4906
81.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
44926
54.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
50965
61.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
39879
48.3 IPS |
|
|
Object Detection (F32)
|
100% |
4464
333.3 IPS |
|
|
Object Detection (F16)
|
100% |
3738
279.1 IPS |
|
|
Object Detection (I8)
|
61% |
3967
296.1 IPS |
|
|
Face Detection (F32)
|
100% |
13573
161.4 IPS |
|
|
Face Detection (F16)
|
100% |
13512
160.7 IPS |
|
|
Face Detection (I8)
|
89% |
11177
132.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
26357
204.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
26110
202.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
23335
181.0 IPS |
|
|
Style Transfer (F32)
|
100% |
107155
141.0 IPS |
|
|
Style Transfer (F16)
|
100% |
73848
97.1 IPS |
|
|
Style Transfer (I8)
|
98% |
78953
103.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19786
706.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16565
591.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
12240
437.1 IPS |
|
|
Text Classification (F32)
|
100% |
1629
2.34 KIPS |
|
|
Text Classification (F16)
|
100% |
1802
2.59 KIPS |
|
|
Text Classification (I8)
|
98% |
1260
1.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
2803
51.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2792
51.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1679
30.9 IPS |
