LENOVO 21KWZC45US
Geekbench ML Score
2640
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 20 2024 03:18 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1276
238.8 IPS |
|
|
Image Classification (F16)
|
100% |
1291
241.5 IPS |
|
|
Image Classification (I8)
|
100% |
1139
213.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1343
22.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1343
22.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1131
18.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
11762
14.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
11883
14.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
10598
12.8 IPS |
|
|
Object Detection (F32)
|
100% |
1106
82.6 IPS |
|
|
Object Detection (F16)
|
100% |
1126
84.0 IPS |
|
|
Object Detection (I8)
|
54% |
1004
75.0 IPS |
|
|
Face Detection (F32)
|
100% |
960
11.4 IPS |
|
|
Face Detection (F16)
|
100% |
953
11.3 IPS |
|
|
Face Detection (I8)
|
89% |
862
10.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
7014
54.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
7331
56.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
5684
44.1 IPS |
|
|
Style Transfer (F32)
|
100% |
35840
47.1 IPS |
|
|
Style Transfer (F16)
|
100% |
37977
50.0 IPS |
|
|
Style Transfer (I8)
|
98% |
26005
34.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5746
205.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6437
229.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4493
160.5 IPS |
|
|
Text Classification (F32)
|
90% |
730
1.05 KIPS |
|
|
Text Classification (F16)
|
90% |
720
1.03 KIPS |
|
|
Text Classification (I8)
|
90% |
553
795.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1430
26.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1463
26.9 IPS |
|
|
Machine Translation (I8)
|
70% |
766
14.1 IPS |
