LENOVO 83GH
Geekbench AI Score
1841
Single Precision Score
16746
Half Precision Score
38772
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| User | kshaikh |
| Upload Date | July 23 2025 02:27 AM |
| Views | 7 |
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 Insider Preview (64-bit) |
| Model | LENOVO 83GH |
| 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% |
660
122.8 IPS |
|
|
Image Classification (HP)
|
100% |
11120
2.07 KIPS |
|
|
Image Classification (Q)
|
99% |
18033
3.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
723
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8236
133.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
20857
339.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4464
5.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
71355
83.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
248592
291.4 IPS |
|
|
Object Detection (SP)
|
100% |
795
63.1 IPS |
|
|
Object Detection (HP)
|
100% |
11748
931.9 IPS |
|
|
Object Detection (Q)
|
92% |
21369
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
1730
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
24830
295.0 IPS |
|
|
Face Detection (Q)
|
97% |
61698
735.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2202
17.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
42521
327.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
109598
874.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10734
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
55162
70.9 IPS |
|
|
Style Transfer (Q)
|
98% |
257936
332.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1893
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30175
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
65291
2.41 KIPS |
|
|
Text Classification (SP)
|
100% |
1583
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
2662
3.55 KIPS |
|
|
Text Classification (Q)
|
95% |
3936
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2166
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4831
83.2 IPS |
|
|
Machine Translation (Q)
|
67% |
8574
166.9 IPS |
