LENOVO 83N3
Geekbench AI Score
1751
Single Precision Score
2952
Half Precision Score
6549
Quantized Score
Geekbench AI 1.4.0 Pro for Windows AArch64
Result Information
| User | SpaceAceTACP |
| Upload Date | August 30 2025 10:54 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X - X126100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83N3 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X - X126100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 2.96 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
606
112.7 IPS |
|
|
Image Classification (HP)
|
100% |
2188
406.9 IPS |
|
|
Image Classification (Q)
|
99% |
5726
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
693
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2785
45.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6679
108.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4339
5.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
6732
7.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
16614
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
782
62.0 IPS |
|
|
Object Detection (HP)
|
99% |
2159
171.8 IPS |
|
|
Object Detection (Q)
|
86% |
5603
450.3 IPS |
|
|
Face Detection (SP)
|
100% |
1753
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
6940
82.5 IPS |
|
|
Face Detection (Q)
|
97% |
10729
127.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2147
16.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3504
27.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
12162
96.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10274
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9485
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27437
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1754
64.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1379
50.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3547
131.3 IPS |
|
|
Text Classification (SP)
|
100% |
1402
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
643
858.9 IPS |
|
|
Text Classification (Q)
|
97% |
1101
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2008
34.6 IPS |
|
|
Machine Translation (HP)
|
99% |
2783
48.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2919
58.7 IPS |
