LENOVO 83ED
Geekbench AI Score
1674
Single Precision Score
1577
Half Precision Score
5132
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| User | TechnoCat |
| Upload Date | August 24 2024 08:52 PM |
| Views | 13 |
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 Home (64-bit) |
| Model | LENOVO 83ED |
| Motherboard | LENOVO LNVNB161216 |
| 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% |
496
92.1 IPS |
|
|
Image Classification (HP)
|
100% |
563
104.8 IPS |
|
|
Image Classification (Q)
|
99% |
3868
721.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
847
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2390
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4168
4.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
6011
7.01 IPS |
|
|
Pose Estimation (Q)
|
95% |
16887
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
624
49.5 IPS |
|
|
Object Detection (HP)
|
99% |
667
53.1 IPS |
|
|
Object Detection (Q)
|
88% |
3018
241.9 IPS |
|
|
Face Detection (SP)
|
100% |
1566
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
914
10.9 IPS |
|
|
Face Detection (Q)
|
97% |
6257
74.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1891
14.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2187
16.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
10175
81.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10990
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8981
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30157
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1680
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1211
44.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3986
147.6 IPS |
|
|
Text Classification (SP)
|
100% |
1644
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
444
593.1 IPS |
|
|
Text Classification (Q)
|
97% |
1229
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1760
30.3 IPS |
|
|
Machine Translation (HP)
|
99% |
1829
31.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2863
63.9 IPS |
