LENOVO 83HL
Geekbench AI Score
1928
Single Precision Score
14175
Half Precision Score
32365
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | June 13 2025 11:28 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% |
675
125.6 IPS |
|
|
Image Classification (HP)
|
100% |
8900
1.66 KIPS |
|
|
Image Classification (Q)
|
99% |
14111
2.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
799
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7842
127.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
16372
266.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4632
5.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
67877
79.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231143
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
827
65.6 IPS |
|
|
Object Detection (HP)
|
100% |
9303
737.9 IPS |
|
|
Object Detection (Q)
|
92% |
17750
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
1885
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
20516
243.8 IPS |
|
|
Face Detection (Q)
|
97% |
53750
640.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2335
18.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
37809
291.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
96306
768.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11154
14.3 IPS |
|
|
Style Transfer (HP)
|
98% |
56338
72.6 IPS |
|
|
Style Transfer (Q)
|
98% |
248329
320.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1975
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27671
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
62849
2.32 KIPS |
|
|
Text Classification (SP)
|
100% |
1560
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2006
2.68 KIPS |
|
|
Text Classification (Q)
|
95% |
3071
4.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2278
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3065
52.8 IPS |
|
|
Machine Translation (Q)
|
67% |
5364
104.4 IPS |
