LENOVO 21KWZC48US
Geekbench ML Score
13314
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 23 2024 09:08 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 3000 Ada Generation Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5842
1.09 KIPS |
|
|
Image Classification (F16)
|
100% |
6487
1.21 KIPS |
|
|
Image Classification (I8)
|
100% |
5864
1.10 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8916
148.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
8823
147.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
8094
135.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
97745
118.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
97556
118.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
85218
103.2 IPS |
|
|
Object Detection (F32)
|
100% |
4313
322.0 IPS |
|
|
Object Detection (F16)
|
100% |
4548
339.5 IPS |
|
|
Object Detection (I8)
|
63% |
4197
313.3 IPS |
|
|
Face Detection (F32)
|
100% |
17868
212.5 IPS |
|
|
Face Detection (F16)
|
100% |
17506
208.1 IPS |
|
|
Face Detection (I8)
|
89% |
15349
182.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
37237
288.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
33893
262.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
31107
241.2 IPS |
|
|
Style Transfer (F32)
|
100% |
145604
191.5 IPS |
|
|
Style Transfer (F16)
|
100% |
143872
189.3 IPS |
|
|
Style Transfer (I8)
|
98% |
130741
172.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
28470
1.02 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
27317
975.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
20276
724.1 IPS |
|
|
Text Classification (F32)
|
100% |
1910
2.75 KIPS |
|
|
Text Classification (F16)
|
100% |
1856
2.67 KIPS |
|
|
Text Classification (I8)
|
98% |
1221
1.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
3085
56.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3003
55.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1738
32.0 IPS |
