LENOVO 21N10007UK
Geekbench ML Score
2293
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | July 18 2024 04:13 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% |
1439
269.2 IPS |
|
|
Image Classification (F16)
|
100% |
1432
267.9 IPS |
|
|
Image Classification (I8)
|
100% |
1139
213.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1696
28.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1717
28.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1491
24.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
9478
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
9342
11.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
7635
9.25 IPS |
|
|
Object Detection (F32)
|
100% |
1172
87.5 IPS |
|
|
Object Detection (F16)
|
100% |
1201
89.7 IPS |
|
|
Object Detection (I8)
|
71% |
1077
80.4 IPS |
|
|
Face Detection (F32)
|
100% |
2832
33.7 IPS |
|
|
Face Detection (F16)
|
100% |
2848
33.9 IPS |
|
|
Face Detection (I8)
|
93% |
2310
27.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5500
42.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
5367
41.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
4686
36.3 IPS |
|
|
Style Transfer (F32)
|
100% |
12936
17.0 IPS |
|
|
Style Transfer (F16)
|
100% |
13083
17.2 IPS |
|
|
Style Transfer (I8)
|
98% |
11824
15.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4839
172.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4919
175.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3581
127.9 IPS |
|
|
Text Classification (F32)
|
100% |
282
405.8 IPS |
|
|
Text Classification (F16)
|
100% |
285
409.1 IPS |
|
|
Text Classification (I8)
|
98% |
239
342.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1055
19.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1049
19.3 IPS |
|
|
Machine Translation (I8)
|
65% |
668
12.3 IPS |
