LENOVO 21KWZC48US
Geekbench ML Score
13783
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 20 2024 12:22 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 | 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% |
6385
1.19 KIPS |
|
|
Image Classification (F16)
|
100% |
7051
1.32 KIPS |
|
|
Image Classification (I8)
|
100% |
6219
1.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9681
161.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
9119
152.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
8289
138.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
97953
118.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
98337
119.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
85466
103.5 IPS |
|
|
Object Detection (F32)
|
100% |
4871
363.6 IPS |
|
|
Object Detection (F16)
|
100% |
4771
356.2 IPS |
|
|
Object Detection (I8)
|
63% |
4450
332.2 IPS |
|
|
Face Detection (F32)
|
100% |
17634
209.7 IPS |
|
|
Face Detection (F16)
|
100% |
17727
210.8 IPS |
|
|
Face Detection (I8)
|
89% |
15622
185.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
37618
291.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
33296
258.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
32083
248.8 IPS |
|
|
Style Transfer (F32)
|
100% |
140937
185.4 IPS |
|
|
Style Transfer (F16)
|
100% |
145426
191.3 IPS |
|
|
Style Transfer (I8)
|
98% |
133743
175.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
29775
1.06 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
27130
968.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
21418
764.9 IPS |
|
|
Text Classification (F32)
|
100% |
1919
2.76 KIPS |
|
|
Text Classification (F16)
|
100% |
1983
2.85 KIPS |
|
|
Text Classification (I8)
|
98% |
1297
1.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
3178
58.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3198
58.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1861
34.3 IPS |
