Lenovo Ideapad Slim 5x LENOVO 83HL
Geekbench AI Score
1294
Single Precision Score
15178
Half Precision Score
33486
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | HippoPCBuilder |
| Upload Date | May 16 2025 07:39 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
107
19.9 IPS |
|
|
Image Classification (HP)
|
100% |
9457
1.76 KIPS |
|
|
Image Classification (Q)
|
99% |
14715
2.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
191
3.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
7805
126.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
14576
237.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3907
4.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
70122
81.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
230351
270.0 IPS |
|
|
Object Detection (SP)
|
100% |
821
65.1 IPS |
|
|
Object Detection (HP)
|
100% |
9767
774.7 IPS |
|
|
Object Detection (Q)
|
92% |
19757
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
1748
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
23756
282.3 IPS |
|
|
Face Detection (Q)
|
97% |
56621
675.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2100
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
42162
324.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
106949
853.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10079
13.0 IPS |
|
|
Style Transfer (HP)
|
98% |
56722
73.1 IPS |
|
|
Style Transfer (Q)
|
98% |
254970
328.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1723
63.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29142
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
61215
2.26 KIPS |
|
|
Text Classification (SP)
|
100% |
1447
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
2171
2.90 KIPS |
|
|
Text Classification (Q)
|
95% |
3295
4.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2179
37.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3572
61.5 IPS |
|
|
Machine Translation (Q)
|
67% |
5833
113.5 IPS |
