LENOVO 21KU0000CD
Geekbench ML Score
9755
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 05 2024 12:14 PM |
| Views | 2 |
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% |
4524
846.5 IPS |
|
|
Image Classification (F16)
|
100% |
4605
861.7 IPS |
|
|
Image Classification (I8)
|
100% |
4162
778.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
7589
126.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
5742
95.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
5159
86.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
44871
54.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
44849
54.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
43365
52.5 IPS |
|
|
Object Detection (F32)
|
100% |
4513
337.0 IPS |
|
|
Object Detection (F16)
|
100% |
4580
341.9 IPS |
|
|
Object Detection (I8)
|
61% |
4302
321.1 IPS |
|
|
Face Detection (F32)
|
100% |
12504
148.7 IPS |
|
|
Face Detection (F16)
|
100% |
12992
154.5 IPS |
|
|
Face Detection (I8)
|
89% |
10432
124.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
24551
190.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
24155
187.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
22343
173.3 IPS |
|
|
Style Transfer (F32)
|
100% |
103129
135.7 IPS |
|
|
Style Transfer (F16)
|
100% |
77677
102.2 IPS |
|
|
Style Transfer (I8)
|
98% |
75012
98.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19328
690.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16403
585.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
12112
432.6 IPS |
|
|
Text Classification (F32)
|
100% |
1505
2.16 KIPS |
|
|
Text Classification (F16)
|
100% |
1724
2.48 KIPS |
|
|
Text Classification (I8)
|
98% |
1268
1.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
3178
58.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3170
58.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1830
33.7 IPS |
