LENOVO 83ED
Geekbench ML Score
1960
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 16 2024 08:36 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83ED |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Rovnovha |
| 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 | 16.00 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% |
1072
200.5 IPS |
|
|
Image Classification (F16)
|
100% |
1056
197.5 IPS |
|
|
Image Classification (I8)
|
100% |
913
170.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1412
23.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1405
23.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1292
21.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
8519
10.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
8501
10.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
7727
9.36 IPS |
|
|
Object Detection (F32)
|
100% |
801
59.8 IPS |
|
|
Object Detection (F16)
|
100% |
1035
77.3 IPS |
|
|
Object Detection (I8)
|
71% |
753
56.2 IPS |
|
|
Face Detection (F32)
|
100% |
2217
26.4 IPS |
|
|
Face Detection (F16)
|
100% |
2219
26.4 IPS |
|
|
Face Detection (I8)
|
93% |
1931
23.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
4948
38.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
4970
38.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
4242
32.9 IPS |
|
|
Style Transfer (F32)
|
100% |
12202
16.1 IPS |
|
|
Style Transfer (F16)
|
100% |
12416
16.3 IPS |
|
|
Style Transfer (I8)
|
98% |
11233
14.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4465
159.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4512
161.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3215
114.8 IPS |
|
|
Text Classification (F32)
|
100% |
243
349.0 IPS |
|
|
Text Classification (F16)
|
100% |
224
322.1 IPS |
|
|
Text Classification (I8)
|
98% |
239
344.0 IPS |
|
|
Machine Translation (F32)
|
100% |
891
16.4 IPS |
|
|
Machine Translation (F16)
|
100% |
858
15.8 IPS |
|
|
Machine Translation (I8)
|
65% |
585
10.8 IPS |
