LENOVO 83ED
Geekbench AI Score
1715
Single Precision Score
2408
Half Precision Score
5331
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | merpuya |
| Upload Date | May 22 2025 08:58 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| 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% |
701
130.3 IPS |
|
|
Image Classification (HP)
|
100% |
2956
549.8 IPS |
|
|
Image Classification (Q)
|
99% |
6619
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
837
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3086
50.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2355
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4538
5.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
4894
5.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
18647
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
671
53.3 IPS |
|
|
Object Detection (HP)
|
99% |
813
64.7 IPS |
|
|
Object Detection (Q)
|
86% |
4894
393.3 IPS |
|
|
Face Detection (SP)
|
100% |
1498
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
5216
62.0 IPS |
|
|
Face Detection (Q)
|
97% |
7901
94.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1901
14.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2500
19.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
8275
65.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12106
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8792
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
25307
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1859
68.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1257
46.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3105
115.0 IPS |
|
|
Text Classification (SP)
|
100% |
1038
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
503
671.0 IPS |
|
|
Text Classification (Q)
|
97% |
911
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1853
31.9 IPS |
|
|
Machine Translation (HP)
|
99% |
2496
43.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2787
56.0 IPS |
