LENOVO 83HL
Geekbench AI Score
1901
Single Precision Score
16001
Half Precision Score
35871
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | June 13 2025 11:36 PM |
| Views | 4 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
680
126.4 IPS |
|
|
Image Classification (HP)
|
100% |
10394
1.93 KIPS |
|
|
Image Classification (Q)
|
99% |
17697
3.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
779
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8142
132.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
16957
275.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4434
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
71056
82.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
244503
286.6 IPS |
|
|
Object Detection (SP)
|
100% |
814
64.6 IPS |
|
|
Object Detection (HP)
|
100% |
11124
882.3 IPS |
|
|
Object Detection (Q)
|
92% |
20177
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
1861
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
24097
286.3 IPS |
|
|
Face Detection (Q)
|
97% |
57498
685.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2248
17.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
42136
324.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
107236
855.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10803
13.9 IPS |
|
|
Style Transfer (HP)
|
98% |
57404
74.0 IPS |
|
|
Style Transfer (Q)
|
98% |
260602
336.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1970
72.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30259
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
64315
2.37 KIPS |
|
|
Text Classification (SP)
|
100% |
1651
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2381
3.18 KIPS |
|
|
Text Classification (Q)
|
95% |
3593
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2202
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3919
67.5 IPS |
|
|
Machine Translation (Q)
|
67% |
6418
124.9 IPS |
