LENOVO 21N1CTO1WW
Geekbench AI Score
293
Single Precision Score
325
Half Precision Score
996
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | June 01 2025 08:53 AM |
| Views | 5 |
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 21N1CTO1WW |
| Motherboard | LENOVO 21N1CTO1WW |
| Power Plan | Ausbalanciert |
| 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% |
490
91.1 IPS |
|
|
Image Classification (HP)
|
100% |
2196
408.4 IPS |
|
|
Image Classification (Q)
|
99% |
4875
909.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
530
8.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
144
2.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
389
6.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
471
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
676
0.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
1148
1.35 IPS |
|
|
Object Detection (SP)
|
100% |
60
4.76 IPS |
|
|
Object Detection (HP)
|
99% |
132
10.5 IPS |
|
|
Object Detection (Q)
|
86% |
4956
398.3 IPS |
|
|
Face Detection (SP)
|
100% |
227
2.69 IPS |
|
|
Face Detection (HP)
|
100% |
318
3.78 IPS |
|
|
Face Detection (Q)
|
97% |
491
5.86 IPS |
|
|
Depth Estimation (SP)
|
100% |
1648
12.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
364
2.81 IPS |
|
|
Depth Estimation (Q)
|
79% |
541
4.30 IPS |
|
|
Style Transfer (SP)
|
100% |
1378
1.77 IPS |
|
|
Style Transfer (HP)
|
100% |
1596
2.05 IPS |
|
|
Style Transfer (Q)
|
98% |
2250
2.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
118
4.35 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
140
5.16 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2675
99.1 IPS |
|
|
Text Classification (SP)
|
100% |
75
100.6 IPS |
|
|
Text Classification (HP)
|
100% |
67
90.0 IPS |
|
|
Text Classification (Q)
|
97% |
145
194.1 IPS |
|
|
Machine Translation (SP)
|
100% |
142
2.44 IPS |
|
|
Machine Translation (HP)
|
99% |
272
4.70 IPS |
|
|
Machine Translation (Q)
|
65% |
386
7.75 IPS |
