Lenovo ThinkPad P14s Gen 6 Snapdragon LENOVO 21N10008UK
Geekbench AI Score
2199
Single Precision Score
3561
Half Precision Score
5193
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | pila |
| Upload Date | March 17 2025 07:26 AM |
| Views | 7 |
| Notes | Snapdragon X Elite |
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 21N10008UK |
| Motherboard | LENOVO 21N10008UK |
| Power Plan | Zrwnowaony |
| 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% |
746
138.7 IPS |
|
|
Image Classification (HP)
|
100% |
3316
616.7 IPS |
|
|
Image Classification (Q)
|
99% |
6988
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
870
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3495
56.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2455
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6935
8.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
9895
11.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
24850
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
931
73.9 IPS |
|
|
Object Detection (HP)
|
99% |
2558
203.5 IPS |
|
|
Object Detection (Q)
|
86% |
7081
569.1 IPS |
|
|
Face Detection (SP)
|
100% |
1998
23.7 IPS |
|
|
Face Detection (HP)
|
100% |
7410
88.1 IPS |
|
|
Face Detection (Q)
|
97% |
12682
151.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2587
19.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4042
31.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
624
4.96 IPS |
|
|
Style Transfer (SP)
|
100% |
15224
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11723
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
36567
47.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2373
87.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1601
59.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3918
145.1 IPS |
|
|
Text Classification (SP)
|
100% |
1430
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
645
861.1 IPS |
|
|
Text Classification (Q)
|
97% |
1177
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2372
40.9 IPS |
|
|
Machine Translation (HP)
|
99% |
3091
53.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3544
71.2 IPS |
