LENOVO 21KU0000CD
Geekbench ML Score
9362
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 21 2024 09:59 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 21KU0000CD |
| Motherboard | LENOVO 21KU0000CD |
| Power Plan | Balanced |
| 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% |
4701
879.7 IPS |
|
|
Image Classification (F16)
|
100% |
4760
890.7 IPS |
|
|
Image Classification (I8)
|
100% |
4264
797.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
6315
105.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
5712
95.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
5170
86.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
44919
54.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
54027
65.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
40210
48.7 IPS |
|
|
Object Detection (F32)
|
100% |
3660
273.2 IPS |
|
|
Object Detection (F16)
|
100% |
3758
280.6 IPS |
|
|
Object Detection (I8)
|
61% |
3388
253.0 IPS |
|
|
Face Detection (F32)
|
100% |
12808
152.3 IPS |
|
|
Face Detection (F16)
|
100% |
12481
148.4 IPS |
|
|
Face Detection (I8)
|
89% |
10332
122.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
25498
197.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
25227
195.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
21648
167.9 IPS |
|
|
Style Transfer (F32)
|
100% |
101327
133.3 IPS |
|
|
Style Transfer (F16)
|
100% |
72222
95.0 IPS |
|
|
Style Transfer (I8)
|
98% |
73916
97.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
18100
646.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16191
578.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11943
426.5 IPS |
|
|
Text Classification (F32)
|
100% |
1481
2.13 KIPS |
|
|
Text Classification (F16)
|
100% |
1507
2.17 KIPS |
|
|
Text Classification (I8)
|
98% |
1020
1.47 KIPS |
|
|
Machine Translation (F32)
|
100% |
3119
57.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3072
56.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1801
33.1 IPS |
