LENOVO 83ED
Geekbench AI Score
1729
Single Precision Score
16125
Half Precision Score
35878
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | April 22 2025 08:55 AM |
| Views | 3 |
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 Pro (64-bit) |
| Model | LENOVO 83ED |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Zrwnowaony |
| 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% |
666
123.9 IPS |
|
|
Image Classification (HP)
|
100% |
10724
1.99 KIPS |
|
|
Image Classification (Q)
|
99% |
17156
3.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
726
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8094
131.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17194
279.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3994
4.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
71043
82.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
245266
287.5 IPS |
|
|
Object Detection (SP)
|
100% |
840
66.6 IPS |
|
|
Object Detection (HP)
|
100% |
11370
901.9 IPS |
|
|
Object Detection (Q)
|
92% |
19953
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
1815
21.6 IPS |
|
|
Face Detection (HP)
|
100% |
24136
286.8 IPS |
|
|
Face Detection (Q)
|
97% |
59035
704.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2142
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
42327
326.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
107789
860.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9319
12.0 IPS |
|
|
Style Transfer (HP)
|
98% |
57945
74.7 IPS |
|
|
Style Transfer (Q)
|
98% |
263262
339.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1604
59.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30673
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
65906
2.43 KIPS |
|
|
Text Classification (SP)
|
100% |
1381
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2392
3.19 KIPS |
|
|
Text Classification (Q)
|
95% |
3625
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1838
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3905
67.3 IPS |
|
|
Machine Translation (Q)
|
67% |
6118
119.1 IPS |
