LENOVO 83HL
Geekbench AI Score
1703
Single Precision Score
2889
Half Precision Score
6483
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| User | abstractius |
| Upload Date | August 01 2025 03:07 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% |
628
116.7 IPS |
|
|
Image Classification (HP)
|
100% |
2233
415.4 IPS |
|
|
Image Classification (Q)
|
99% |
5667
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
680
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2714
44.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6398
104.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4043
4.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
6588
7.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
16696
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
772
61.3 IPS |
|
|
Object Detection (HP)
|
99% |
2038
162.1 IPS |
|
|
Object Detection (Q)
|
86% |
5468
439.5 IPS |
|
|
Face Detection (SP)
|
100% |
1643
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
6927
82.3 IPS |
|
|
Face Detection (Q)
|
97% |
9878
117.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2065
15.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3086
23.9 IPS |
|
|
Depth Estimation (Q)
|
79% |
12197
96.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10012
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9615
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
26334
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1630
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1351
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3614
133.8 IPS |
|
|
Text Classification (SP)
|
100% |
1430
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
656
875.1 IPS |
|
|
Text Classification (Q)
|
97% |
1184
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1952
33.6 IPS |
|
|
Machine Translation (HP)
|
99% |
2737
47.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2921
58.7 IPS |
