LENOVO 83HL
Geekbench AI Score
1821
Single Precision Score
3066
Half Precision Score
6959
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| User | Ncard00 |
| Upload Date | August 12 2025 10:12 PM |
| Views | 9 |
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% |
651
121.1 IPS |
|
|
Image Classification (HP)
|
100% |
2582
480.1 IPS |
|
|
Image Classification (Q)
|
99% |
5866
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
743
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2950
47.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7042
114.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4340
5.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
6974
8.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
17404
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
800
63.5 IPS |
|
|
Object Detection (HP)
|
99% |
2191
174.3 IPS |
|
|
Object Detection (Q)
|
86% |
5915
475.4 IPS |
|
|
Face Detection (SP)
|
100% |
1770
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
7068
84.0 IPS |
|
|
Face Detection (Q)
|
97% |
11093
132.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2157
16.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2997
23.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
13377
106.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10621
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10412
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
30265
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1859
68.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1441
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3745
138.7 IPS |
|
|
Text Classification (SP)
|
100% |
1556
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
660
880.4 IPS |
|
|
Text Classification (Q)
|
97% |
1208
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2045
35.2 IPS |
|
|
Machine Translation (HP)
|
99% |
3012
52.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3087
62.0 IPS |
