LENOVO 21KWZC45US
Geekbench ML Score
2643
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 21 2024 12:53 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KWZC45US |
| Motherboard | LENOVO 21KWZC45US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 135H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 9 |
| L1 Data Cache | 48.0 KB x 9 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 18.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1161
217.3 IPS |
|
|
Image Classification (F16)
|
100% |
1226
229.5 IPS |
|
|
Image Classification (I8)
|
100% |
1112
208.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1333
22.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1323
22.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1135
19.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
12292
14.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
11847
14.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
10591
12.8 IPS |
|
|
Object Detection (F32)
|
100% |
1142
85.3 IPS |
|
|
Object Detection (F16)
|
100% |
1165
86.9 IPS |
|
|
Object Detection (I8)
|
54% |
1013
75.7 IPS |
|
|
Face Detection (F32)
|
100% |
973
11.6 IPS |
|
|
Face Detection (F16)
|
100% |
958
11.4 IPS |
|
|
Face Detection (I8)
|
89% |
873
10.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
7005
54.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
7151
55.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
5729
44.4 IPS |
|
|
Style Transfer (F32)
|
100% |
36128
47.5 IPS |
|
|
Style Transfer (F16)
|
100% |
37127
48.8 IPS |
|
|
Style Transfer (I8)
|
98% |
27069
35.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6182
220.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6172
220.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4496
160.6 IPS |
|
|
Text Classification (F32)
|
90% |
746
1.07 KIPS |
|
|
Text Classification (F16)
|
90% |
744
1.07 KIPS |
|
|
Text Classification (I8)
|
90% |
546
784.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1426
26.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1442
26.5 IPS |
|
|
Machine Translation (I8)
|
70% |
771
14.2 IPS |
