LENOVO 83GH
Geekbench AI Score
592
Single Precision Score
1338
Half Precision Score
2710
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| Upload Date | November 15 2025 04:00 PM |
| Views | 2 |
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 Pro (64-bit) |
| Model | LENOVO 83GH |
| 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% |
331
61.6 IPS |
|
|
Image Classification (HP)
|
100% |
1168
217.2 IPS |
|
|
Image Classification (Q)
|
99% |
2296
428.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
337
5.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
1458
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3334
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1826
2.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
3646
4.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
8804
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
157
12.4 IPS |
|
|
Object Detection (HP)
|
99% |
1160
92.3 IPS |
|
|
Object Detection (Q)
|
86% |
2673
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
823
9.78 IPS |
|
|
Face Detection (HP)
|
100% |
3313
39.4 IPS |
|
|
Face Detection (Q)
|
97% |
5748
68.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
744
5.73 IPS |
|
|
Depth Estimation (HP)
|
98% |
1837
14.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
6148
48.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4361
5.61 IPS |
|
|
Style Transfer (HP)
|
100% |
5924
7.62 IPS |
|
|
Style Transfer (Q)
|
98% |
17468
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
679
25.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
514
19.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
670
24.8 IPS |
|
|
Text Classification (SP)
|
100% |
233
310.9 IPS |
|
|
Text Classification (HP)
|
100% |
149
199.3 IPS |
|
|
Text Classification (Q)
|
97% |
216
289.9 IPS |
|
|
Machine Translation (SP)
|
100% |
398
6.85 IPS |
|
|
Machine Translation (HP)
|
99% |
931
16.1 IPS |
|
|
Machine Translation (Q)
|
65% |
1332
26.8 IPS |
