LENOVO 21KWZC48US
Geekbench ML Score
13635
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 21 2024 02:02 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% |
6667
1.25 KIPS |
|
|
Image Classification (F16)
|
100% |
6892
1.29 KIPS |
|
|
Image Classification (I8)
|
100% |
6084
1.14 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8711
145.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
8771
146.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
8187
136.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
99086
120.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
98432
119.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
85581
103.6 IPS |
|
|
Object Detection (F32)
|
100% |
4845
361.7 IPS |
|
|
Object Detection (F16)
|
100% |
4676
349.1 IPS |
|
|
Object Detection (I8)
|
63% |
4368
326.1 IPS |
|
|
Face Detection (F32)
|
100% |
17119
203.5 IPS |
|
|
Face Detection (F16)
|
100% |
17361
206.4 IPS |
|
|
Face Detection (I8)
|
89% |
15226
181.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
37722
292.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
37268
289.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
32209
249.8 IPS |
|
|
Style Transfer (F32)
|
100% |
143002
188.1 IPS |
|
|
Style Transfer (F16)
|
100% |
144101
189.6 IPS |
|
|
Style Transfer (I8)
|
98% |
132000
173.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
28312
1.01 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
27058
966.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
21297
760.6 IPS |
|
|
Text Classification (F32)
|
100% |
1953
2.81 KIPS |
|
|
Text Classification (F16)
|
100% |
1908
2.74 KIPS |
|
|
Text Classification (I8)
|
98% |
1308
1.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
3167
58.3 IPS |
|
|
Machine Translation (F16)
|
100% |
3172
58.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1706
31.4 IPS |
