LENOVO 83ED
Geekbench AI Score
542
Single Precision Score
8935
Half Precision Score
16517
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| User | DVB |
| Upload Date | August 19 2024 03:51 PM |
| Views | 15 |
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 Home (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% |
122
22.8 IPS |
|
|
Image Classification (HP)
|
100% |
7134
1.33 KIPS |
|
|
Image Classification (Q)
|
99% |
9722
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
322
5.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
6879
111.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8669
141.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2365
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
66806
78.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
199512
233.9 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
7160
567.9 IPS |
|
|
Object Detection (Q)
|
82% |
10974
888.3 IPS |
|
|
Face Detection (SP)
|
100% |
481
5.72 IPS |
|
|
Face Detection (HP)
|
100% |
18204
216.3 IPS |
|
|
Face Detection (Q)
|
97% |
35811
427.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1645
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
41984
323.5 IPS |
|
|
Depth Estimation (Q)
|
71% |
68693
571.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3542
4.55 IPS |
|
|
Style Transfer (HP)
|
23% |
2647
91.1 IPS |
|
|
Style Transfer (Q)
|
98% |
169980
219.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
377
13.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22301
823.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32460
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
303
405.0 IPS |
|
|
Text Classification (HP)
|
100% |
1530
2.04 KIPS |
|
|
Text Classification (Q)
|
95% |
2235
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
353
6.08 IPS |
|
|
Machine Translation (HP)
|
100% |
2003
34.5 IPS |
|
|
Machine Translation (Q)
|
37% |
270
26.3 IPS |
