LENOVO 21KWZC48US
Geekbench ML Score
13417
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 07:53 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KWZC48US |
| Motherboard | LENOVO 21KWZC48US |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 3000 Ada Generation Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6477
1.21 KIPS |
|
|
Image Classification (F16)
|
100% |
6860
1.28 KIPS |
|
|
Image Classification (I8)
|
100% |
6060
1.13 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8944
149.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
8510
142.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
8088
135.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
97065
117.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
97256
117.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
83291
100.9 IPS |
|
|
Object Detection (F32)
|
100% |
4812
359.2 IPS |
|
|
Object Detection (F16)
|
100% |
4731
353.2 IPS |
|
|
Object Detection (I8)
|
63% |
4191
312.9 IPS |
|
|
Face Detection (F32)
|
100% |
17907
212.9 IPS |
|
|
Face Detection (F16)
|
100% |
18105
215.3 IPS |
|
|
Face Detection (I8)
|
89% |
14989
178.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
34370
266.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
37407
290.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
28838
223.6 IPS |
|
|
Style Transfer (F32)
|
100% |
164389
216.2 IPS |
|
|
Style Transfer (F16)
|
100% |
141465
186.1 IPS |
|
|
Style Transfer (I8)
|
98% |
131551
173.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
28193
1.01 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
27544
983.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
20738
740.6 IPS |
|
|
Text Classification (F32)
|
100% |
1901
2.73 KIPS |
|
|
Text Classification (F16)
|
100% |
1941
2.79 KIPS |
|
|
Text Classification (I8)
|
98% |
1301
1.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
2752
50.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3076
56.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1508
27.8 IPS |
