LENOVO 83ED
Geekbench AI Score
1786
Single Precision Score
2943
Half Precision Score
6950
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| Upload Date | July 09 2025 08:05 PM |
| Views | 4 |
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 | Equilibrado |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
739
137.4 IPS |
|
|
Image Classification (HP)
|
100% |
3318
617.0 IPS |
|
|
Image Classification (Q)
|
99% |
6796
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
688
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2011
32.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9258
150.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5249
6.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
7398
8.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
18878
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
874
69.4 IPS |
|
|
Object Detection (HP)
|
99% |
2419
192.5 IPS |
|
|
Object Detection (Q)
|
86% |
6747
542.2 IPS |
|
|
Face Detection (SP)
|
100% |
1749
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
6911
82.1 IPS |
|
|
Face Detection (Q)
|
97% |
12457
148.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2140
16.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3276
25.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
14751
117.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11370
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9245
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
35016
45.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1828
67.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1254
46.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2228
82.5 IPS |
|
|
Text Classification (SP)
|
100% |
1108
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
557
743.5 IPS |
|
|
Text Classification (Q)
|
97% |
848
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1649
28.4 IPS |
|
|
Machine Translation (HP)
|
99% |
2796
48.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2701
54.3 IPS |
