LENOVO 83ED
Geekbench ML Score
2194
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 17 2024 12:29 AM |
| Views | 1 |
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% |
1255
234.9 IPS |
|
|
Image Classification (F16)
|
100% |
1291
241.5 IPS |
|
|
Image Classification (I8)
|
100% |
1058
198.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1554
26.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1623
27.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1385
23.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
8549
10.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
8536
10.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
8497
10.3 IPS |
|
|
Object Detection (F32)
|
100% |
1167
87.1 IPS |
|
|
Object Detection (F16)
|
100% |
1171
87.4 IPS |
|
|
Object Detection (I8)
|
71% |
1084
81.0 IPS |
|
|
Face Detection (F32)
|
100% |
2355
28.0 IPS |
|
|
Face Detection (F16)
|
100% |
2349
27.9 IPS |
|
|
Face Detection (I8)
|
93% |
2015
24.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5208
40.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
5273
40.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
4589
35.6 IPS |
|
|
Style Transfer (F32)
|
100% |
12682
16.7 IPS |
|
|
Style Transfer (F16)
|
100% |
12969
17.1 IPS |
|
|
Style Transfer (I8)
|
98% |
11571
15.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4855
173.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4959
177.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3480
124.3 IPS |
|
|
Text Classification (F32)
|
100% |
265
381.4 IPS |
|
|
Text Classification (F16)
|
100% |
313
449.4 IPS |
|
|
Text Classification (I8)
|
98% |
239
344.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1010
18.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1018
18.7 IPS |
|
|
Machine Translation (I8)
|
65% |
693
12.7 IPS |
