LENOVO 21N10001US
Geekbench AI Score
1887
Single Precision Score
2819
Half Precision Score
5888
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | December 30 2024 07:37 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 Business (64-bit) |
| Model | LENOVO 21N10001US |
| Motherboard | LENOVO 21N10001US |
| 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% |
737
137.1 IPS |
|
|
Image Classification (HP)
|
100% |
2903
539.8 IPS |
|
|
Image Classification (Q)
|
99% |
6837
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
808
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3362
54.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2396
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6556
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
5304
6.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
22034
25.8 IPS |
|
|
Object Detection (SP)
|
100% |
827
65.6 IPS |
|
|
Object Detection (HP)
|
99% |
2401
191.0 IPS |
|
|
Object Detection (Q)
|
86% |
6448
518.2 IPS |
|
|
Face Detection (SP)
|
100% |
1758
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
6846
81.3 IPS |
|
|
Face Detection (Q)
|
97% |
11224
133.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2143
16.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3244
25.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
9129
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11882
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8397
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
26846
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1758
64.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1118
41.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3052
113.0 IPS |
|
|
Text Classification (SP)
|
100% |
1228
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
515
688.0 IPS |
|
|
Text Classification (Q)
|
97% |
919
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1835
31.6 IPS |
|
|
Machine Translation (HP)
|
99% |
2377
41.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2791
56.1 IPS |
