LENOVO 83HL
Geekbench AI Score
1581
Single Precision Score
16481
Half Precision Score
39875
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| User | Ncard00 |
| Upload Date | December 08 2025 10:31 PM |
| Views | 12 |
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% |
548
102.0 IPS |
|
|
Image Classification (HP)
|
100% |
10482
1.95 KIPS |
|
|
Image Classification (Q)
|
99% |
18114
3.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8199
132.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
22468
365.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4429
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
71535
83.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
245824
288.1 IPS |
|
|
Object Detection (SP)
|
100% |
664
52.6 IPS |
|
|
Object Detection (HP)
|
100% |
11334
899.0 IPS |
|
|
Object Detection (Q)
|
92% |
21582
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
1543
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
24441
290.4 IPS |
|
|
Face Detection (Q)
|
97% |
67936
810.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1803
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
43119
332.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
108438
865.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10890
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
53766
69.1 IPS |
|
|
Style Transfer (Q)
|
98% |
256101
330.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1822
67.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30025
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
62722
2.32 KIPS |
|
|
Text Classification (SP)
|
100% |
946
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2512
3.35 KIPS |
|
|
Text Classification (Q)
|
95% |
3887
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1768
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4966
85.5 IPS |
|
|
Machine Translation (Q)
|
67% |
10234
199.2 IPS |
