LENOVO 21KU0000CD
Geekbench ML Score
9387
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 21 2024 07:55 AM |
| Views | 5 |
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% |
4694
878.3 IPS |
|
|
Image Classification (F16)
|
100% |
4760
890.8 IPS |
|
|
Image Classification (I8)
|
100% |
4260
797.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
5838
97.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
5663
94.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
5197
86.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
44723
54.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
56068
67.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
39781
48.2 IPS |
|
|
Object Detection (F32)
|
100% |
4568
341.0 IPS |
|
|
Object Detection (F16)
|
100% |
3634
271.3 IPS |
|
|
Object Detection (I8)
|
61% |
3490
260.5 IPS |
|
|
Face Detection (F32)
|
100% |
12825
152.5 IPS |
|
|
Face Detection (F16)
|
100% |
12541
149.1 IPS |
|
|
Face Detection (I8)
|
89% |
10244
121.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
18847
146.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
24539
190.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
21579
167.3 IPS |
|
|
Style Transfer (F32)
|
100% |
104119
137.0 IPS |
|
|
Style Transfer (F16)
|
100% |
73668
96.9 IPS |
|
|
Style Transfer (I8)
|
98% |
76020
100.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
18295
653.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15963
570.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
12079
431.4 IPS |
|
|
Text Classification (F32)
|
100% |
1558
2.24 KIPS |
|
|
Text Classification (F16)
|
100% |
1532
2.20 KIPS |
|
|
Text Classification (I8)
|
98% |
1055
1.52 KIPS |
|
|
Machine Translation (F32)
|
100% |
3192
58.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3180
58.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1837
33.8 IPS |
