LENOVO 83ED
Geekbench ML Score
2235
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | September 18 2024 09:07 AM |
| Views | 5 |
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% |
1453
271.8 IPS |
|
|
Image Classification (F16)
|
100% |
1373
256.9 IPS |
|
|
Image Classification (I8)
|
100% |
983
184.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1539
25.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1626
27.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1488
24.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
9448
11.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
9410
11.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
8578
10.4 IPS |
|
|
Object Detection (F32)
|
100% |
1173
87.6 IPS |
|
|
Object Detection (F16)
|
100% |
1185
88.5 IPS |
|
|
Object Detection (I8)
|
71% |
1056
78.8 IPS |
|
|
Face Detection (F32)
|
100% |
2742
32.6 IPS |
|
|
Face Detection (F16)
|
100% |
2745
32.6 IPS |
|
|
Face Detection (I8)
|
93% |
2287
27.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5404
41.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
5294
41.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
4579
35.5 IPS |
|
|
Style Transfer (F32)
|
100% |
12885
16.9 IPS |
|
|
Style Transfer (F16)
|
100% |
13052
17.2 IPS |
|
|
Style Transfer (I8)
|
98% |
11768
15.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4456
159.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4932
176.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3501
125.0 IPS |
|
|
Text Classification (F32)
|
100% |
284
408.4 IPS |
|
|
Text Classification (F16)
|
100% |
287
411.9 IPS |
|
|
Text Classification (I8)
|
98% |
221
318.0 IPS |
|
|
Machine Translation (F32)
|
100% |
899
16.5 IPS |
|
|
Machine Translation (F16)
|
100% |
974
17.9 IPS |
|
|
Machine Translation (I8)
|
65% |
682
12.6 IPS |
