LENOVO 82AK
Geekbench AI Score
431
Single Precision Score
441
Half Precision Score
1080
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| User | aether_joe |
| Upload Date | November 11 2024 03:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon (TM) 8cx @ 2.84 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82AK |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon (TM) 8cx @ 2.84 GHz |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 805 Revision D0E |
| Base Frequency | 2.84 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
170
31.6 IPS |
|
|
Image Classification (HP)
|
100% |
190
35.3 IPS |
|
|
Image Classification (Q)
|
99% |
680
126.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
729
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
743
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
830
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
799
0.93 IPS |
|
|
Pose Estimation (Q)
|
95% |
3751
4.40 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
99% |
191
15.2 IPS |
|
|
Object Detection (Q)
|
88% |
809
64.9 IPS |
|
|
Face Detection (SP)
|
100% |
431
5.12 IPS |
|
|
Face Detection (HP)
|
100% |
432
5.13 IPS |
|
|
Face Detection (Q)
|
97% |
1492
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
529
4.07 IPS |
|
|
Depth Estimation (HP)
|
98% |
653
5.05 IPS |
|
|
Depth Estimation (Q)
|
77% |
1760
14.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2005
2.58 IPS |
|
|
Style Transfer (HP)
|
100% |
3130
4.02 IPS |
|
|
Style Transfer (Q)
|
98% |
6827
8.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
394
14.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
227
8.37 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
986
36.5 IPS |
|
|
Text Classification (SP)
|
100% |
398
530.6 IPS |
|
|
Text Classification (HP)
|
100% |
146
195.2 IPS |
|
|
Text Classification (Q)
|
97% |
163
218.8 IPS |
|
|
Machine Translation (SP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (HP)
|
99% |
455
7.87 IPS |
|
|
Machine Translation (Q)
|
60% |
491
10.9 IPS |
