LENOVO 83ED
Geekbench ML Score
2708
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | July 26 2024 10:03 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
691
129.3 IPS |
|
|
Image Classification (F16)
|
100% |
663
124.1 IPS |
|
|
Image Classification (I8)
|
99% |
3684
689.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
787
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
766
12.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2319
38.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
4733
5.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
4675
5.66 IPS |
|
|
Pose Estimation (I8)
|
100% |
24061
29.1 IPS |
|
|
Object Detection (F32)
|
100% |
846
63.1 IPS |
|
|
Object Detection (F16)
|
100% |
854
63.8 IPS |
|
|
Object Detection (I8)
|
65% |
3397
253.6 IPS |
|
|
Face Detection (F32)
|
100% |
1725
20.5 IPS |
|
|
Face Detection (F16)
|
100% |
1705
20.3 IPS |
|
|
Face Detection (I8)
|
89% |
5711
67.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2313
17.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2376
18.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
13429
104.1 IPS |
|
|
Style Transfer (F32)
|
100% |
12095
15.9 IPS |
|
|
Style Transfer (F16)
|
100% |
12854
16.9 IPS |
|
|
Style Transfer (I8)
|
98% |
26798
35.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2346
83.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2400
85.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3874
138.4 IPS |
|
|
Text Classification (F32)
|
100% |
1394
2.00 KIPS |
|
|
Text Classification (F16)
|
100% |
1461
2.10 KIPS |
|
|
Text Classification (I8)
|
98% |
1115
1.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
1952
35.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1914
35.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3252
59.9 IPS |
