LENOVO 21KWZC48US
Geekbench ML Score
13175
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 23 2024 09:07 AM |
| Views | 5 |
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% |
5986
1.12 KIPS |
|
|
Image Classification (F16)
|
100% |
6535
1.22 KIPS |
|
|
Image Classification (I8)
|
100% |
5880
1.10 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8769
146.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
8893
148.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
7955
132.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
99293
120.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
98111
118.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
85468
103.5 IPS |
|
|
Object Detection (F32)
|
100% |
4679
349.3 IPS |
|
|
Object Detection (F16)
|
100% |
4737
353.7 IPS |
|
|
Object Detection (I8)
|
63% |
4548
339.5 IPS |
|
|
Face Detection (F32)
|
100% |
16845
200.3 IPS |
|
|
Face Detection (F16)
|
100% |
17434
207.3 IPS |
|
|
Face Detection (I8)
|
89% |
14798
176.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
36776
285.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
32473
251.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
26820
208.0 IPS |
|
|
Style Transfer (F32)
|
100% |
160443
211.0 IPS |
|
|
Style Transfer (F16)
|
100% |
144803
190.5 IPS |
|
|
Style Transfer (I8)
|
98% |
129974
171.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
25866
923.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
28185
1.01 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
20440
730.0 IPS |
|
|
Text Classification (F32)
|
100% |
1789
2.57 KIPS |
|
|
Text Classification (F16)
|
100% |
1764
2.54 KIPS |
|
|
Text Classification (I8)
|
98% |
1207
1.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
3067
56.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2548
46.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1755
32.3 IPS |
