LENOVO 83ED
Geekbench ML Score
2326
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 29 2024 01:06 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83ED |
| Motherboard | LENOVO LNVNB161216 |
| 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 | 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% |
1502
281.0 IPS |
|
|
Image Classification (F16)
|
100% |
1473
275.7 IPS |
|
|
Image Classification (I8)
|
100% |
1215
227.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1683
28.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1663
27.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1473
24.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
9493
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
9454
11.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
8458
10.2 IPS |
|
|
Object Detection (F32)
|
100% |
1221
91.2 IPS |
|
|
Object Detection (F16)
|
100% |
1235
92.2 IPS |
|
|
Object Detection (I8)
|
71% |
1091
81.5 IPS |
|
|
Face Detection (F32)
|
100% |
2743
32.6 IPS |
|
|
Face Detection (F16)
|
100% |
2864
34.1 IPS |
|
|
Face Detection (I8)
|
93% |
2272
27.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5518
42.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5541
43.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
4569
35.4 IPS |
|
|
Style Transfer (F32)
|
100% |
12986
17.1 IPS |
|
|
Style Transfer (F16)
|
100% |
13178
17.3 IPS |
|
|
Style Transfer (I8)
|
98% |
11808
15.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4907
175.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4780
170.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3508
125.3 IPS |
|
|
Text Classification (F32)
|
100% |
297
427.4 IPS |
|
|
Text Classification (F16)
|
100% |
289
415.3 IPS |
|
|
Text Classification (I8)
|
98% |
251
360.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1075
19.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1085
20.0 IPS |
|
|
Machine Translation (I8)
|
65% |
695
12.8 IPS |
