LENOVO 83HL
Geekbench AI Score
1892
Single Precision Score
16238
Half Precision Score
37663
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| User | Ncard00 |
| Upload Date | September 18 2025 07:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83HL |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.24 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
673
125.2 IPS |
|
|
Image Classification (HP)
|
100% |
10679
1.99 KIPS |
|
|
Image Classification (Q)
|
99% |
17291
3.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
731
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8152
132.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20526
333.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4633
5.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
69875
81.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
238394
279.4 IPS |
|
|
Object Detection (SP)
|
100% |
841
66.7 IPS |
|
|
Object Detection (HP)
|
100% |
11501
912.3 IPS |
|
|
Object Detection (Q)
|
92% |
20445
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
1832
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
24410
290.0 IPS |
|
|
Face Detection (Q)
|
97% |
61164
729.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2294
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
41591
320.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
107352
856.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11201
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
53559
68.9 IPS |
|
|
Style Transfer (Q)
|
98% |
252491
325.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1913
70.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29122
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
62823
2.32 KIPS |
|
|
Text Classification (SP)
|
100% |
1546
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2545
3.40 KIPS |
|
|
Text Classification (Q)
|
95% |
3651
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2210
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4523
77.9 IPS |
|
|
Machine Translation (Q)
|
67% |
8732
169.9 IPS |
