LENOVO 21N9
Geekbench ML Score
2844
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 31 2024 04:18 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 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% |
1272
238.0 IPS |
|
|
Image Classification (F16)
|
100% |
1328
248.6 IPS |
|
|
Image Classification (I8)
|
100% |
1170
219.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1519
25.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1501
25.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1313
21.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
12982
15.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
12838
15.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
11482
13.9 IPS |
|
|
Object Detection (F32)
|
100% |
1115
83.2 IPS |
|
|
Object Detection (F16)
|
100% |
1107
82.7 IPS |
|
|
Object Detection (I8)
|
54% |
971
72.5 IPS |
|
|
Face Detection (F32)
|
100% |
1341
15.9 IPS |
|
|
Face Detection (F16)
|
100% |
1316
15.7 IPS |
|
|
Face Detection (I8)
|
89% |
1225
14.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
7310
56.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7315
56.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
6401
49.6 IPS |
|
|
Style Transfer (F32)
|
100% |
41041
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
38581
50.8 IPS |
|
|
Style Transfer (I8)
|
98% |
30996
40.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6576
234.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5967
213.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4368
156.0 IPS |
|
|
Text Classification (F32)
|
90% |
729
1.05 KIPS |
|
|
Text Classification (F16)
|
90% |
743
1.07 KIPS |
|
|
Text Classification (I8)
|
90% |
557
800.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1414
26.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1429
26.3 IPS |
|
|
Machine Translation (I8)
|
70% |
813
15.0 IPS |
