LENOVO 83ED
Geekbench AI Score
1730
Single Precision Score
11206
Half Precision Score
22215
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| User | DVB |
| Upload Date | November 02 2024 06:35 PM |
| Views | 2 |
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% |
728
135.4 IPS |
|
|
Image Classification (HP)
|
100% |
11122
2.07 KIPS |
|
|
Image Classification (Q)
|
99% |
17660
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
818
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7599
123.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9335
151.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3632
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
70184
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
240175
281.5 IPS |
|
|
Object Detection (SP)
|
100% |
838
66.4 IPS |
|
|
Object Detection (HP)
|
100% |
11439
907.3 IPS |
|
|
Object Detection (Q)
|
82% |
15916
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
1859
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
22865
271.7 IPS |
|
|
Face Detection (Q)
|
97% |
46882
559.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2021
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
41278
318.0 IPS |
|
|
Depth Estimation (Q)
|
71% |
84824
705.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11150
14.3 IPS |
|
|
Style Transfer (HP)
|
23% |
2772
95.4 IPS |
|
|
Style Transfer (Q)
|
98% |
182044
234.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1574
58.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30783
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44648
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
986
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2040
2.72 KIPS |
|
|
Text Classification (Q)
|
95% |
3677
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2041
35.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2803
48.3 IPS |
|
|
Machine Translation (Q)
|
37% |
391
38.1 IPS |
