LENOVO 21KWZC48US
Geekbench ML Score
12645
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 21 2024 02:01 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% |
6268
1.17 KIPS |
|
|
Image Classification (F16)
|
100% |
6826
1.28 KIPS |
|
|
Image Classification (I8)
|
100% |
6069
1.14 KIPS |
|
|
Image Segmentation (F32)
|
100% |
7464
124.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
8625
144.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
8363
139.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
98640
119.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
97497
118.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
85630
103.7 IPS |
|
|
Object Detection (F32)
|
100% |
4623
345.1 IPS |
|
|
Object Detection (F16)
|
100% |
2678
199.9 IPS |
|
|
Object Detection (I8)
|
63% |
4245
316.9 IPS |
|
|
Face Detection (F32)
|
100% |
15222
181.0 IPS |
|
|
Face Detection (F16)
|
100% |
14585
173.4 IPS |
|
|
Face Detection (I8)
|
89% |
12034
143.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
35440
274.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
34838
270.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
27385
212.4 IPS |
|
|
Style Transfer (F32)
|
100% |
144527
190.1 IPS |
|
|
Style Transfer (F16)
|
100% |
138333
182.0 IPS |
|
|
Style Transfer (I8)
|
98% |
128909
169.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
26468
945.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
25699
917.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
21353
762.6 IPS |
|
|
Text Classification (F32)
|
100% |
1854
2.67 KIPS |
|
|
Text Classification (F16)
|
100% |
1892
2.72 KIPS |
|
|
Text Classification (I8)
|
98% |
1307
1.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
3154
58.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2577
47.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1501
27.6 IPS |
