LENOVO 83ED
Geekbench AI Score
1337
Single Precision Score
2194
Half Precision Score
4696
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | aeonsim |
| Upload Date | February 24 2025 09:16 AM |
| Views | 3 |
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 (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% |
391
72.7 IPS |
|
|
Image Classification (HP)
|
100% |
1793
333.4 IPS |
|
|
Image Classification (Q)
|
99% |
1935
361.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
517
8.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
2754
44.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2188
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3275
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
6337
7.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
14613
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
535
42.4 IPS |
|
|
Object Detection (HP)
|
99% |
1358
108.1 IPS |
|
|
Object Detection (Q)
|
86% |
5180
416.3 IPS |
|
|
Face Detection (SP)
|
100% |
1244
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
4226
50.2 IPS |
|
|
Face Detection (Q)
|
97% |
10068
120.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1695
13.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2281
17.6 IPS |
|
|
Depth Estimation (Q)
|
79% |
8791
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9735
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7861
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
26300
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1340
49.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
926
34.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2743
101.6 IPS |
|
|
Text Classification (SP)
|
100% |
1325
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
473
630.9 IPS |
|
|
Text Classification (Q)
|
97% |
1057
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1416
24.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1835
31.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2413
48.5 IPS |
