LENOVO 83HL
Geekbench AI Score
1859
Single Precision Score
2979
Half Precision Score
5896
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | Saibot0010 |
| Upload Date | December 11 2024 11:21 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 (64-bit) |
| Model | LENOVO 83HL |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| 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% |
658
122.4 IPS |
|
|
Image Classification (HP)
|
100% |
2419
449.9 IPS |
|
|
Image Classification (Q)
|
99% |
5872
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
737
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2724
44.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2079
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4518
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
6994
8.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
17358
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
813
64.5 IPS |
|
|
Object Detection (HP)
|
99% |
2111
167.9 IPS |
|
|
Object Detection (Q)
|
86% |
5518
443.5 IPS |
|
|
Face Detection (SP)
|
100% |
1815
21.6 IPS |
|
|
Face Detection (HP)
|
100% |
6710
79.7 IPS |
|
|
Face Detection (Q)
|
97% |
10454
124.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2295
17.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3518
27.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
10678
84.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11134
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10302
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
29412
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1922
71.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1423
52.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3543
131.2 IPS |
|
|
Text Classification (SP)
|
100% |
1544
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
670
894.3 IPS |
|
|
Text Classification (Q)
|
97% |
1254
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2016
34.7 IPS |
|
|
Machine Translation (HP)
|
99% |
2445
42.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2978
59.8 IPS |
