LENOVO 21KWZC48US
Geekbench ML Score
13612
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 21 2024 02:05 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% |
6264
1.17 KIPS |
|
|
Image Classification (F16)
|
100% |
6840
1.28 KIPS |
|
|
Image Classification (I8)
|
100% |
6114
1.14 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9343
156.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
8830
147.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
8307
138.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
99277
120.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
99659
120.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
85668
103.7 IPS |
|
|
Object Detection (F32)
|
100% |
4622
345.0 IPS |
|
|
Object Detection (F16)
|
100% |
4663
348.1 IPS |
|
|
Object Detection (I8)
|
63% |
4223
315.3 IPS |
|
|
Face Detection (F32)
|
100% |
17664
210.0 IPS |
|
|
Face Detection (F16)
|
100% |
17679
210.2 IPS |
|
|
Face Detection (I8)
|
89% |
14536
172.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
37664
292.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
32325
250.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
32002
248.2 IPS |
|
|
Style Transfer (F32)
|
100% |
145651
191.6 IPS |
|
|
Style Transfer (F16)
|
100% |
149138
196.2 IPS |
|
|
Style Transfer (I8)
|
98% |
133600
175.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
27549
983.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
28226
1.01 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
21310
761.1 IPS |
|
|
Text Classification (F32)
|
100% |
1907
2.74 KIPS |
|
|
Text Classification (F16)
|
100% |
1933
2.78 KIPS |
|
|
Text Classification (I8)
|
98% |
1309
1.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
3175
58.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3152
58.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1834
33.7 IPS |
