LENOVO 83N3
Geekbench AI Score
1712
Single Precision Score
16377
Half Precision Score
37356
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| Upload Date | August 21 2025 05:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| 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 |
| 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% |
612
113.7 IPS |
|
|
Image Classification (HP)
|
100% |
10796
2.01 KIPS |
|
|
Image Classification (Q)
|
99% |
17058
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
699
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8215
133.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
19934
324.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4019
4.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
71603
83.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
243271
285.1 IPS |
|
|
Object Detection (SP)
|
100% |
758
60.1 IPS |
|
|
Object Detection (HP)
|
100% |
11318
897.8 IPS |
|
|
Object Detection (Q)
|
92% |
20264
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
1672
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
23929
284.3 IPS |
|
|
Face Detection (Q)
|
97% |
58908
702.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2055
15.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
41779
321.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
106639
851.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9945
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
55066
70.8 IPS |
|
|
Style Transfer (Q)
|
98% |
254491
328.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1757
64.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29727
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
63093
2.33 KIPS |
|
|
Text Classification (SP)
|
100% |
1397
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
2563
3.42 KIPS |
|
|
Text Classification (Q)
|
95% |
3690
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1986
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4604
79.3 IPS |
|
|
Machine Translation (Q)
|
67% |
8482
165.1 IPS |
