LENOVO 83ED
Geekbench AI Score
1687
Single Precision Score
3037
Half Precision Score
6519
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | December 30 2024 09:57 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
742
138.0 IPS |
|
|
Image Classification (HP)
|
100% |
3033
564.1 IPS |
|
|
Image Classification (Q)
|
99% |
6673
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
745
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3310
53.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2415
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2948
3.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
9697
11.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
17390
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
725
57.5 IPS |
|
|
Object Detection (HP)
|
99% |
2474
196.8 IPS |
|
|
Object Detection (Q)
|
86% |
6594
529.9 IPS |
|
|
Face Detection (SP)
|
100% |
1847
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
7547
89.7 IPS |
|
|
Face Detection (Q)
|
97% |
12092
144.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2385
18.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2997
23.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
11332
90.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8812
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9120
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
36710
47.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1666
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
992
36.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3736
138.3 IPS |
|
|
Text Classification (SP)
|
100% |
1146
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
688
918.7 IPS |
|
|
Text Classification (Q)
|
97% |
1237
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2136
36.8 IPS |
|
|
Machine Translation (HP)
|
99% |
1969
34.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3229
64.9 IPS |
