LENOVO 21N10000US
Geekbench AI Score
1952
Single Precision Score
2271
Half Precision Score
5169
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | June 26 2025 09:48 PM |
| Views | 4 |
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 21N10000US |
| Motherboard | LENOVO 21N10000US |
| 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% |
722
134.3 IPS |
|
|
Image Classification (HP)
|
100% |
821
152.7 IPS |
|
|
Image Classification (Q)
|
99% |
6862
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
563
9.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
2940
47.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2360
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6226
7.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2737
3.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
22898
26.8 IPS |
|
|
Object Detection (SP)
|
100% |
851
67.5 IPS |
|
|
Object Detection (HP)
|
99% |
818
65.1 IPS |
|
|
Object Detection (Q)
|
86% |
6349
510.3 IPS |
|
|
Face Detection (SP)
|
100% |
1793
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
6806
80.9 IPS |
|
|
Face Detection (Q)
|
97% |
11059
131.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2441
18.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3241
25.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
11467
91.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13773
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11128
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
2997
3.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2294
84.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1487
54.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3735
138.3 IPS |
|
|
Text Classification (SP)
|
100% |
1423
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
640
854.5 IPS |
|
|
Text Classification (Q)
|
97% |
1186
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1897
32.7 IPS |
|
|
Machine Translation (HP)
|
99% |
2895
50.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3439
69.1 IPS |
