LENOVO 83ED
Geekbench AI Score
2207
Single Precision Score
10965
Half Precision Score
21814
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AArch64
Result Information
| Upload Date | August 11 2024 10:49 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| 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% |
748
139.0 IPS |
|
|
Image Classification (HP)
|
100% |
11047
2.05 KIPS |
|
|
Image Classification (Q)
|
99% |
17685
3.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
869
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7420
120.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8850
143.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6564
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
67313
78.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
238374
279.4 IPS |
|
|
Object Detection (SP)
|
100% |
946
75.1 IPS |
|
|
Object Detection (HP)
|
100% |
11096
880.1 IPS |
|
|
Object Detection (Q)
|
82% |
15616
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
1941
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
22769
270.5 IPS |
|
|
Face Detection (Q)
|
97% |
45501
542.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2685
20.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
39464
304.0 IPS |
|
|
Depth Estimation (Q)
|
71% |
84228
700.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17244
22.2 IPS |
|
|
Style Transfer (HP)
|
23% |
2686
92.5 IPS |
|
|
Style Transfer (Q)
|
98% |
177655
229.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2032
75.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29536
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43744
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
1660
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
1971
2.63 KIPS |
|
|
Text Classification (Q)
|
95% |
3730
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2248
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2923
50.3 IPS |
|
|
Machine Translation (Q)
|
37% |
377
36.7 IPS |
