LENOVO 83HL
Geekbench AI Score
1920
Single Precision Score
3213
Half Precision Score
7186
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| Upload Date | August 26 2025 08:37 AM |
| Views | 4 |
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 Single Language (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% |
694
129.0 IPS |
|
|
Image Classification (HP)
|
100% |
2582
480.2 IPS |
|
|
Image Classification (Q)
|
99% |
6287
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2918
47.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7290
118.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4682
5.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
7194
8.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
18036
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
843
66.9 IPS |
|
|
Object Detection (HP)
|
99% |
2215
176.2 IPS |
|
|
Object Detection (Q)
|
86% |
6022
483.9 IPS |
|
|
Face Detection (SP)
|
100% |
1819
21.6 IPS |
|
|
Face Detection (HP)
|
100% |
7335
87.2 IPS |
|
|
Face Detection (Q)
|
97% |
11594
138.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2320
17.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3712
28.7 IPS |
|
|
Depth Estimation (Q)
|
79% |
13826
109.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11290
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10820
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
30612
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1988
73.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1495
55.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3960
146.6 IPS |
|
|
Text Classification (SP)
|
100% |
1542
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
714
952.8 IPS |
|
|
Text Classification (Q)
|
97% |
1222
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2259
38.9 IPS |
|
|
Machine Translation (HP)
|
99% |
3115
53.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3107
62.4 IPS |
