LENOVO 83ED
Geekbench AI Score
1963
Single Precision Score
3101
Half Precision Score
6120
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | January 15 2025 01:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
740
137.6 IPS |
|
|
Image Classification (HP)
|
100% |
2952
549.0 IPS |
|
|
Image Classification (Q)
|
99% |
6989
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
851
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3345
54.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2373
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5748
6.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
9839
11.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
26030
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
866
68.7 IPS |
|
|
Object Detection (HP)
|
99% |
2463
196.0 IPS |
|
|
Object Detection (Q)
|
86% |
6645
534.1 IPS |
|
|
Face Detection (SP)
|
100% |
1870
22.2 IPS |
|
|
Face Detection (HP)
|
100% |
6985
83.0 IPS |
|
|
Face Detection (Q)
|
97% |
11194
133.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2479
19.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3789
29.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
10700
85.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13957
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10426
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
29304
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2016
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1133
41.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3118
115.4 IPS |
|
|
Text Classification (SP)
|
100% |
1252
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
529
706.6 IPS |
|
|
Text Classification (Q)
|
97% |
933
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1664
28.7 IPS |
|
|
Machine Translation (HP)
|
99% |
2081
35.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2517
50.6 IPS |
