LENOVO 21N10008MX
Geekbench AI Score
1914
Single Precision Score
16076
Half Precision Score
36289
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| User | scien |
| Upload Date | August 21 2025 11:32 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21N10008MX |
| Motherboard | LENOVO 21N10008MX |
| 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% |
704
130.8 IPS |
|
|
Image Classification (HP)
|
100% |
10373
1.93 KIPS |
|
|
Image Classification (Q)
|
99% |
16746
3.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
738
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8193
132.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
20518
333.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5855
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
71710
83.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
247062
289.6 IPS |
|
|
Object Detection (SP)
|
100% |
830
65.9 IPS |
|
|
Object Detection (HP)
|
100% |
11310
897.1 IPS |
|
|
Object Detection (Q)
|
92% |
19767
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
1767
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
24106
286.4 IPS |
|
|
Face Detection (Q)
|
97% |
59686
711.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2317
17.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
41823
322.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
104659
835.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14185
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
55176
70.9 IPS |
|
|
Style Transfer (Q)
|
98% |
254494
328.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1872
69.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28075
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59566
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
1294
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2364
3.16 KIPS |
|
|
Text Classification (Q)
|
95% |
3334
4.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1867
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4532
78.1 IPS |
|
|
Machine Translation (Q)
|
67% |
7476
145.5 IPS |
