LENOVO 21N10000US
Geekbench ML Score
2323
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 16 2024 05:12 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21N10000US |
| Motherboard | LENOVO 21N10000US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Qualcomm(R) Adreno(TM) X1-85 GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1433
268.2 IPS |
|
|
Image Classification (F16)
|
100% |
1443
270.0 IPS |
|
|
Image Classification (I8)
|
100% |
1177
220.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1671
27.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1703
28.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1492
24.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
9452
11.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
9492
11.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
8441
10.2 IPS |
|
|
Object Detection (F32)
|
100% |
1212
90.4 IPS |
|
|
Object Detection (F16)
|
100% |
1213
90.6 IPS |
|
|
Object Detection (I8)
|
71% |
1081
80.7 IPS |
|
|
Face Detection (F32)
|
100% |
2860
34.0 IPS |
|
|
Face Detection (F16)
|
100% |
2894
34.4 IPS |
|
|
Face Detection (I8)
|
93% |
2337
27.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5446
42.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5483
42.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
4636
35.9 IPS |
|
|
Style Transfer (F32)
|
100% |
13026
17.1 IPS |
|
|
Style Transfer (F16)
|
100% |
13057
17.2 IPS |
|
|
Style Transfer (I8)
|
98% |
11959
15.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5007
178.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4880
174.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3585
128.0 IPS |
|
|
Text Classification (F32)
|
100% |
277
397.8 IPS |
|
|
Text Classification (F16)
|
100% |
286
410.9 IPS |
|
|
Text Classification (I8)
|
98% |
249
357.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1092
20.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1091
20.1 IPS |
|
|
Machine Translation (I8)
|
65% |
693
12.7 IPS |
