LENOVO 83ED
Geekbench AI Score
1512
Single Precision Score
14767
Half Precision Score
32495
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | merpuya |
| Upload Date | May 22 2025 08:42 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | LENOVO 83ED |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
235
43.8 IPS |
|
|
Image Classification (HP)
|
100% |
8448
1.57 KIPS |
|
|
Image Classification (Q)
|
99% |
14250
2.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
267
4.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
7434
120.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
15822
257.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3940
4.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
69112
80.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
224150
262.7 IPS |
|
|
Object Detection (SP)
|
100% |
857
67.9 IPS |
|
|
Object Detection (HP)
|
100% |
10715
849.9 IPS |
|
|
Object Detection (Q)
|
92% |
19280
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
1623
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
21489
255.3 IPS |
|
|
Face Detection (Q)
|
97% |
54494
649.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2439
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
40564
312.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
97653
779.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13963
17.9 IPS |
|
|
Style Transfer (HP)
|
98% |
57603
74.3 IPS |
|
|
Style Transfer (Q)
|
98% |
251859
324.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1836
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29411
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
61458
2.27 KIPS |
|
|
Text Classification (SP)
|
100% |
1420
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2035
2.72 KIPS |
|
|
Text Classification (Q)
|
95% |
3178
4.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2058
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3530
60.8 IPS |
|
|
Machine Translation (Q)
|
67% |
5147
100.2 IPS |
