LENOVO 83HL
Geekbench AI Score
1927
Single Precision Score
2950
Half Precision Score
6085
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | January 24 2025 10:54 AM |
| Views | 1 |
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% |
680
126.5 IPS |
|
|
Image Classification (HP)
|
100% |
2477
460.6 IPS |
|
|
Image Classification (Q)
|
99% |
6143
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
807
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2864
46.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2158
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4672
5.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
6862
8.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
17238
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
838
66.5 IPS |
|
|
Object Detection (HP)
|
99% |
1692
134.6 IPS |
|
|
Object Detection (Q)
|
86% |
5989
481.3 IPS |
|
|
Face Detection (SP)
|
100% |
1860
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
6870
81.6 IPS |
|
|
Face Detection (Q)
|
97% |
10716
127.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2338
18.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3294
25.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
11098
88.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11394
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10732
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
29478
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2009
74.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1450
53.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3714
137.5 IPS |
|
|
Text Classification (SP)
|
100% |
1566
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
682
910.9 IPS |
|
|
Text Classification (Q)
|
97% |
1252
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2109
36.3 IPS |
|
|
Machine Translation (HP)
|
99% |
2531
43.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3123
62.7 IPS |
