LENOVO 21KWZC48US
Geekbench ML Score
13711
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 20 2024 06:38 AM |
| Views | 3 |
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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 3000 Ada Generation Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6475
1.21 KIPS |
|
|
Image Classification (F16)
|
100% |
6853
1.28 KIPS |
|
|
Image Classification (I8)
|
100% |
6013
1.13 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9402
157.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
9026
150.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
8321
139.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
99076
120.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
99300
120.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
83510
101.1 IPS |
|
|
Object Detection (F32)
|
100% |
4943
369.1 IPS |
|
|
Object Detection (F16)
|
100% |
4793
357.8 IPS |
|
|
Object Detection (I8)
|
63% |
4575
341.6 IPS |
|
|
Face Detection (F32)
|
100% |
17662
210.0 IPS |
|
|
Face Detection (F16)
|
100% |
18156
215.9 IPS |
|
|
Face Detection (I8)
|
89% |
14776
175.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
37232
288.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
32616
252.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
28648
222.2 IPS |
|
|
Style Transfer (F32)
|
100% |
165518
217.7 IPS |
|
|
Style Transfer (F16)
|
100% |
146537
192.8 IPS |
|
|
Style Transfer (I8)
|
98% |
132682
174.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
29048
1.04 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
26897
960.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
21349
762.4 IPS |
|
|
Text Classification (F32)
|
100% |
1898
2.73 KIPS |
|
|
Text Classification (F16)
|
100% |
1916
2.75 KIPS |
|
|
Text Classification (I8)
|
98% |
1295
1.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
3145
57.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3177
58.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1857
34.2 IPS |
