LENOVO 83ED
Geekbench ML Score
2317
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | July 27 2024 01:54 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 | 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% |
1457
272.6 IPS |
|
|
Image Classification (F16)
|
100% |
1450
271.2 IPS |
|
|
Image Classification (I8)
|
100% |
1186
221.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1698
28.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1716
28.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1469
24.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
9217
11.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
9398
11.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
8507
10.3 IPS |
|
|
Object Detection (F32)
|
100% |
1213
90.6 IPS |
|
|
Object Detection (F16)
|
100% |
1188
88.7 IPS |
|
|
Object Detection (I8)
|
71% |
1084
80.9 IPS |
|
|
Face Detection (F32)
|
100% |
2850
33.9 IPS |
|
|
Face Detection (F16)
|
100% |
2878
34.2 IPS |
|
|
Face Detection (I8)
|
93% |
2323
27.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5412
42.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
5467
42.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
4591
35.6 IPS |
|
|
Style Transfer (F32)
|
100% |
12899
17.0 IPS |
|
|
Style Transfer (F16)
|
100% |
12886
17.0 IPS |
|
|
Style Transfer (I8)
|
98% |
11868
15.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5000
178.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4915
175.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3552
126.9 IPS |
|
|
Text Classification (F32)
|
100% |
293
421.3 IPS |
|
|
Text Classification (F16)
|
100% |
290
417.1 IPS |
|
|
Text Classification (I8)
|
98% |
238
341.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1072
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1081
19.9 IPS |
|
|
Machine Translation (I8)
|
65% |
689
12.7 IPS |
