LENOVO 83ED
Geekbench ML Score
2755
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | July 26 2024 09:51 AM |
| Views | 3 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
700
131.1 IPS |
|
|
Image Classification (F16)
|
100% |
684
128.1 IPS |
|
|
Image Classification (I8)
|
99% |
3765
704.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
801
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
792
13.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2308
38.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
4956
6.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
4711
5.70 IPS |
|
|
Pose Estimation (I8)
|
100% |
23438
28.4 IPS |
|
|
Object Detection (F32)
|
100% |
870
65.0 IPS |
|
|
Object Detection (F16)
|
100% |
879
65.6 IPS |
|
|
Object Detection (I8)
|
65% |
3421
255.4 IPS |
|
|
Face Detection (F32)
|
100% |
1765
21.0 IPS |
|
|
Face Detection (F16)
|
100% |
1742
20.7 IPS |
|
|
Face Detection (I8)
|
89% |
5999
71.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2379
18.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2428
18.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
13886
107.7 IPS |
|
|
Style Transfer (F32)
|
100% |
12019
15.8 IPS |
|
|
Style Transfer (F16)
|
100% |
13018
17.1 IPS |
|
|
Style Transfer (I8)
|
98% |
27400
36.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2342
83.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2266
80.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3918
139.9 IPS |
|
|
Text Classification (F32)
|
100% |
1453
2.09 KIPS |
|
|
Text Classification (F16)
|
100% |
1465
2.11 KIPS |
|
|
Text Classification (I8)
|
98% |
1172
1.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
1937
35.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1976
36.4 IPS |
|
|
Machine Translation (I8)
|
67% |
3382
62.2 IPS |
