LENOVO 21N2S0Q300
Geekbench AI Score
1858
Single Precision Score
2874
Half Precision Score
4256
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | January 08 2025 03:29 PM |
| 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 21N2S0Q300 |
| Motherboard | LENOVO 21N2S0Q300 |
| 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% |
696
129.4 IPS |
|
|
Image Classification (HP)
|
100% |
2844
528.8 IPS |
|
|
Image Classification (Q)
|
99% |
6706
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
832
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2031
32.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1536
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5049
5.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
8392
9.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
20425
23.9 IPS |
|
|
Object Detection (SP)
|
100% |
821
65.1 IPS |
|
|
Object Detection (HP)
|
99% |
2267
180.4 IPS |
|
|
Object Detection (Q)
|
86% |
6008
482.8 IPS |
|
|
Face Detection (SP)
|
100% |
1743
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
5900
70.1 IPS |
|
|
Face Detection (Q)
|
97% |
7350
87.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2289
17.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3345
25.9 IPS |
|
|
Depth Estimation (Q)
|
79% |
11004
87.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13145
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10186
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
2455
3.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1857
68.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1398
51.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2650
98.1 IPS |
|
|
Text Classification (SP)
|
100% |
1070
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
526
702.7 IPS |
|
|
Text Classification (Q)
|
97% |
1069
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1963
33.8 IPS |
|
|
Machine Translation (HP)
|
99% |
2368
40.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2743
55.1 IPS |
