LENOVO 21N2S05000
Geekbench AI Score
2091
Single Precision Score
1689
Half Precision Score
2632
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | November 21 2024 04:53 AM |
| Views | 2 |
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 21N2S05000 |
| Motherboard | LENOVO 21N2S05000 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
746
138.7 IPS |
|
|
Image Classification (HP)
|
100% |
564
104.9 IPS |
|
|
Image Classification (Q)
|
99% |
4156
775.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
861
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2932
47.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2416
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6826
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
9412
11.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24011
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
891
70.7 IPS |
|
|
Object Detection (HP)
|
99% |
629
50.0 IPS |
|
|
Object Detection (Q)
|
88% |
357
28.6 IPS |
|
|
Face Detection (SP)
|
100% |
1673
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
792
9.42 IPS |
|
|
Face Detection (Q)
|
97% |
6392
76.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2697
20.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
2529
19.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
9969
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15849
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10624
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
2321
2.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1849
68.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1206
44.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3867
143.2 IPS |
|
|
Text Classification (SP)
|
100% |
1457
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
434
579.1 IPS |
|
|
Text Classification (Q)
|
97% |
1217
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2127
36.6 IPS |
|
|
Machine Translation (HP)
|
99% |
1737
30.0 IPS |
|
|
Machine Translation (Q)
|
60% |
267
5.96 IPS |
