LENOVO 83ED
Geekbench AI Score
1748
Single Precision Score
2980
Half Precision Score
5942
Quantized Score
Geekbench AI 1.7.0 for Windows AArch64
Result Information
| User | 5000hx |
| Upload Date | March 28 2026 01:00 AM |
| Views | 7 |
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 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
636
118.4 IPS |
|
|
Image Classification (HP)
|
100% |
2469
459.1 IPS |
|
|
Image Classification (Q)
|
99% |
4181
779.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
760
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3271
53.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7660
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4638
5.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
6005
7.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
19071
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
780
61.9 IPS |
|
|
Object Detection (HP)
|
99% |
2282
181.6 IPS |
|
|
Object Detection (Q)
|
86% |
4916
395.1 IPS |
|
|
Face Detection (SP)
|
100% |
1680
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
6457
76.7 IPS |
|
|
Face Detection (Q)
|
97% |
9571
114.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2290
17.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3919
30.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
12758
101.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14559
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11851
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
36146
46.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2193
81.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2724
100.9 IPS |
|
|
Text Classification (SP)
|
100% |
812
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
517
690.7 IPS |
|
|
Text Classification (Q)
|
97% |
737
988.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1534
26.4 IPS |
|
|
Machine Translation (HP)
|
99% |
2081
35.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2064
41.5 IPS |
