LENOVO 21N10007UK
Geekbench ML Score
2311
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | July 18 2024 05:11 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21N10007UK |
| Motherboard | LENOVO 21N10007UK |
| 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 | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Adreno(TM) GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1398
261.5 IPS |
|
|
Image Classification (F16)
|
100% |
1447
270.8 IPS |
|
|
Image Classification (I8)
|
100% |
1210
226.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1706
28.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1716
28.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1504
25.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
9529
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
9515
11.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
8490
10.3 IPS |
|
|
Object Detection (F32)
|
100% |
1205
90.0 IPS |
|
|
Object Detection (F16)
|
100% |
1223
91.3 IPS |
|
|
Object Detection (I8)
|
71% |
1092
81.5 IPS |
|
|
Face Detection (F32)
|
100% |
2837
33.7 IPS |
|
|
Face Detection (F16)
|
100% |
2908
34.6 IPS |
|
|
Face Detection (I8)
|
93% |
2326
27.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5424
42.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5463
42.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
4600
35.7 IPS |
|
|
Style Transfer (F32)
|
100% |
12960
17.0 IPS |
|
|
Style Transfer (F16)
|
100% |
12979
17.1 IPS |
|
|
Style Transfer (I8)
|
98% |
11833
15.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5021
179.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4992
178.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3607
128.8 IPS |
|
|
Text Classification (F32)
|
100% |
269
386.9 IPS |
|
|
Text Classification (F16)
|
100% |
270
388.3 IPS |
|
|
Text Classification (I8)
|
98% |
234
336.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1061
19.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1070
19.7 IPS |
|
|
Machine Translation (I8)
|
65% |
683
12.6 IPS |
