LENOVO 21KWS56V00
Geekbench ML Score
3054
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 18 2024 11:31 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KWS56V00 |
| Motherboard | LENOVO 21KWS56V00 |
| 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 | Intel(R) Arc(TM) Pro Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1259
235.5 IPS |
|
|
Image Classification (F16)
|
100% |
1325
247.9 IPS |
|
|
Image Classification (I8)
|
100% |
1190
222.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1598
26.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1573
26.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1384
23.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
13870
16.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
13854
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
12529
15.2 IPS |
|
|
Object Detection (F32)
|
100% |
1270
94.8 IPS |
|
|
Object Detection (F16)
|
100% |
1204
89.9 IPS |
|
|
Object Detection (I8)
|
54% |
1140
85.1 IPS |
|
|
Face Detection (F32)
|
100% |
1202
14.3 IPS |
|
|
Face Detection (F16)
|
100% |
1197
14.2 IPS |
|
|
Face Detection (I8)
|
89% |
1093
13.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
7831
60.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7865
61.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
6626
51.4 IPS |
|
|
Style Transfer (F32)
|
100% |
42034
55.3 IPS |
|
|
Style Transfer (F16)
|
100% |
40688
53.5 IPS |
|
|
Style Transfer (I8)
|
98% |
32359
42.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7534
269.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6755
241.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5157
184.2 IPS |
|
|
Text Classification (F32)
|
90% |
746
1.07 KIPS |
|
|
Text Classification (F16)
|
90% |
765
1.10 KIPS |
|
|
Text Classification (I8)
|
90% |
574
824.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1989
36.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1980
36.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1013
18.6 IPS |
