LENOVO 21KWZC48US
Geekbench ML Score
13677
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 21 2024 02:08 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 3000 Ada Generation Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6391
1.20 KIPS |
|
|
Image Classification (F16)
|
100% |
6957
1.30 KIPS |
|
|
Image Classification (I8)
|
100% |
6100
1.14 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8941
149.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
8983
150.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
8284
138.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
97115
117.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
99333
120.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
86566
104.8 IPS |
|
|
Object Detection (F32)
|
100% |
4788
357.5 IPS |
|
|
Object Detection (F16)
|
100% |
4725
352.7 IPS |
|
|
Object Detection (I8)
|
63% |
4491
335.3 IPS |
|
|
Face Detection (F32)
|
100% |
16761
199.3 IPS |
|
|
Face Detection (F16)
|
100% |
17809
211.7 IPS |
|
|
Face Detection (I8)
|
89% |
14560
173.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
37797
293.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
33728
261.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
32022
248.3 IPS |
|
|
Style Transfer (F32)
|
100% |
145367
191.2 IPS |
|
|
Style Transfer (F16)
|
100% |
145469
191.4 IPS |
|
|
Style Transfer (I8)
|
98% |
132354
174.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
29281
1.05 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
29002
1.04 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
20657
737.7 IPS |
|
|
Text Classification (F32)
|
100% |
1916
2.75 KIPS |
|
|
Text Classification (F16)
|
100% |
1937
2.78 KIPS |
|
|
Text Classification (I8)
|
98% |
1303
1.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
3165
58.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3186
58.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1850
34.0 IPS |
