LENOVO 83ED
Geekbench ML Score
2185
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 16 2024 08:39 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% |
1224
229.0 IPS |
|
|
Image Classification (F16)
|
100% |
1302
243.6 IPS |
|
|
Image Classification (I8)
|
100% |
1076
201.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1579
26.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1586
26.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1459
24.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
9547
11.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
8540
10.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
8618
10.4 IPS |
|
|
Object Detection (F32)
|
100% |
1170
87.3 IPS |
|
|
Object Detection (F16)
|
100% |
1196
89.3 IPS |
|
|
Object Detection (I8)
|
71% |
946
70.6 IPS |
|
|
Face Detection (F32)
|
100% |
2377
28.3 IPS |
|
|
Face Detection (F16)
|
100% |
2374
28.2 IPS |
|
|
Face Detection (I8)
|
93% |
2019
24.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5347
41.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
5284
41.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
4492
34.8 IPS |
|
|
Style Transfer (F32)
|
100% |
13273
17.5 IPS |
|
|
Style Transfer (F16)
|
100% |
12544
16.5 IPS |
|
|
Style Transfer (I8)
|
98% |
11412
15.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4884
174.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4885
174.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3402
121.5 IPS |
|
|
Text Classification (F32)
|
100% |
281
403.8 IPS |
|
|
Text Classification (F16)
|
100% |
288
413.3 IPS |
|
|
Text Classification (I8)
|
98% |
227
326.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1002
18.4 IPS |
|
|
Machine Translation (F16)
|
100% |
999
18.4 IPS |
|
|
Machine Translation (I8)
|
65% |
646
11.9 IPS |
