LENOVO 83ED
Geekbench AI Score
1591
Single Precision Score
15511
Half Precision Score
26431
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | aeonsim |
| Upload Date | February 24 2025 09:13 AM |
| Views | 5 |
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 (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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
448
83.2 IPS |
|
|
Image Classification (HP)
|
100% |
10497
1.95 KIPS |
|
|
Image Classification (Q)
|
99% |
16350
3.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
704
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7538
122.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9684
157.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3656
4.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
70739
82.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
240004
281.3 IPS |
|
|
Object Detection (SP)
|
100% |
734
58.2 IPS |
|
|
Object Detection (HP)
|
100% |
10442
828.3 IPS |
|
|
Object Detection (Q)
|
92% |
12098
965.7 IPS |
|
|
Face Detection (SP)
|
100% |
1895
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
22509
267.5 IPS |
|
|
Face Detection (Q)
|
97% |
45003
536.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1873
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
42266
325.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
99454
797.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9937
12.8 IPS |
|
|
Style Transfer (HP)
|
98% |
57671
74.4 IPS |
|
|
Style Transfer (Q)
|
98% |
210679
271.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1529
56.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30194
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41540
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
1404
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2366
3.16 KIPS |
|
|
Text Classification (Q)
|
95% |
3634
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1623
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3521
60.7 IPS |
|
|
Machine Translation (Q)
|
67% |
2543
49.5 IPS |
