LENOVO 21KU0000CD
Geekbench ML Score
2983
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 01 2024 11:57 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 21KU0000CD |
| Motherboard | LENOVO 21KU0000CD |
| 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 | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1412
264.3 IPS |
|
|
Image Classification (F16)
|
100% |
1400
262.0 IPS |
|
|
Image Classification (I8)
|
100% |
1273
238.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1492
24.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1458
24.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1296
21.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
13505
16.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
13545
16.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
11715
14.2 IPS |
|
|
Object Detection (F32)
|
100% |
1251
93.4 IPS |
|
|
Object Detection (F16)
|
100% |
1251
93.4 IPS |
|
|
Object Detection (I8)
|
54% |
1140
85.1 IPS |
|
|
Face Detection (F32)
|
100% |
1132
13.5 IPS |
|
|
Face Detection (F16)
|
100% |
1136
13.5 IPS |
|
|
Face Detection (I8)
|
89% |
1026
12.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
8219
63.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7978
61.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
6397
49.6 IPS |
|
|
Style Transfer (F32)
|
100% |
38904
51.2 IPS |
|
|
Style Transfer (F16)
|
100% |
39745
52.3 IPS |
|
|
Style Transfer (I8)
|
98% |
30267
39.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6863
245.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6656
237.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4769
170.3 IPS |
|
|
Text Classification (F32)
|
90% |
861
1.24 KIPS |
|
|
Text Classification (F16)
|
90% |
866
1.24 KIPS |
|
|
Text Classification (I8)
|
90% |
631
906.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1615
29.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1674
30.8 IPS |
|
|
Machine Translation (I8)
|
70% |
895
16.5 IPS |
