LENOVO 21N9
Geekbench ML Score
2814
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 31 2024 04:16 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21N9 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 22 |
| L1 Data Cache | 32.0 KB x 22 |
| 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% |
1264
236.6 IPS |
|
|
Image Classification (F16)
|
100% |
1285
240.5 IPS |
|
|
Image Classification (I8)
|
100% |
1174
219.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1453
24.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1462
24.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1300
21.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
13259
16.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
13150
15.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
11659
14.1 IPS |
|
|
Object Detection (F32)
|
100% |
1047
78.2 IPS |
|
|
Object Detection (F16)
|
100% |
1092
81.5 IPS |
|
|
Object Detection (I8)
|
54% |
977
72.9 IPS |
|
|
Face Detection (F32)
|
100% |
1347
16.0 IPS |
|
|
Face Detection (F16)
|
100% |
1326
15.8 IPS |
|
|
Face Detection (I8)
|
89% |
1192
14.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
7312
56.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7390
57.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
6279
48.7 IPS |
|
|
Style Transfer (F32)
|
100% |
40512
53.3 IPS |
|
|
Style Transfer (F16)
|
100% |
40861
53.7 IPS |
|
|
Style Transfer (I8)
|
98% |
31776
41.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5535
197.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5721
204.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4277
152.7 IPS |
|
|
Text Classification (F32)
|
90% |
749
1.08 KIPS |
|
|
Text Classification (F16)
|
90% |
736
1.06 KIPS |
|
|
Text Classification (I8)
|
90% |
549
789.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1428
26.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1421
26.1 IPS |
|
|
Machine Translation (I8)
|
70% |
806
14.8 IPS |
