LENOVO 83ED
Geekbench ML Score
1769
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | November 19 2024 07:26 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% |
556
104.1 IPS |
|
|
Image Classification (F16)
|
100% |
481
90.0 IPS |
|
|
Image Classification (I8)
|
99% |
2895
541.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
592
9.89 IPS |
|
|
Image Segmentation (F16)
|
100% |
618
10.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1937
32.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
3726
4.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
4507
5.46 IPS |
|
|
Pose Estimation (I8)
|
100% |
20496
24.8 IPS |
|
|
Object Detection (F32)
|
100% |
633
47.2 IPS |
|
|
Object Detection (F16)
|
100% |
631
47.1 IPS |
|
|
Object Detection (I8)
|
65% |
2568
191.7 IPS |
|
|
Face Detection (F32)
|
100% |
1388
16.5 IPS |
|
|
Face Detection (F16)
|
100% |
1241
14.8 IPS |
|
|
Face Detection (I8)
|
89% |
4222
50.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1611
12.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
1491
11.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
8274
64.2 IPS |
|
|
Style Transfer (F32)
|
100% |
5768
7.59 IPS |
|
|
Style Transfer (F16)
|
100% |
4048
5.32 IPS |
|
|
Style Transfer (I8)
|
98% |
12662
16.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1044
37.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1627
58.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2390
85.4 IPS |
|
|
Text Classification (F32)
|
100% |
780
1.12 KIPS |
|
|
Text Classification (F16)
|
100% |
663
953.1 IPS |
|
|
Text Classification (I8)
|
98% |
692
994.4 IPS |
|
|
Machine Translation (F32)
|
100% |
876
16.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1112
20.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2337
43.0 IPS |
