LENOVO 83HL
Geekbench AI Score
1899
Single Precision Score
3068
Half Precision Score
7148
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| User | Ncard00 |
| Upload Date | September 18 2025 07:43 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| 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% |
681
126.7 IPS |
|
|
Image Classification (HP)
|
100% |
2710
504.0 IPS |
|
|
Image Classification (Q)
|
99% |
6336
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
726
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3004
48.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7171
116.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4645
5.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
7199
8.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
18081
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
852
67.6 IPS |
|
|
Object Detection (HP)
|
99% |
1354
107.8 IPS |
|
|
Object Detection (Q)
|
86% |
5880
472.6 IPS |
|
|
Face Detection (SP)
|
100% |
1854
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
7601
90.3 IPS |
|
|
Face Detection (Q)
|
97% |
11371
135.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2306
17.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3455
26.7 IPS |
|
|
Depth Estimation (Q)
|
79% |
13539
107.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11271
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10735
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
31353
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1957
72.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1511
55.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3965
146.8 IPS |
|
|
Text Classification (SP)
|
100% |
1559
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
693
925.6 IPS |
|
|
Text Classification (Q)
|
97% |
1211
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2131
36.7 IPS |
|
|
Machine Translation (HP)
|
99% |
3156
54.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3114
62.6 IPS |
