Lenovo ThinkPad T14s Gen 6 Snapdragon LENOVO 21N10008UK
Geekbench AI Score
1980
Single Precision Score
2338
Half Precision Score
4939
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | pila |
| Upload Date | April 07 2025 07:50 AM |
| 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 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% |
702
130.5 IPS |
|
|
Image Classification (HP)
|
100% |
2967
551.8 IPS |
|
|
Image Classification (Q)
|
99% |
6856
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
647
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2291
37.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1626
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4894
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
8801
10.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
22438
26.3 IPS |
|
|
Object Detection (SP)
|
100% |
843
66.8 IPS |
|
|
Object Detection (HP)
|
99% |
103
8.19 IPS |
|
|
Object Detection (Q)
|
86% |
5796
465.8 IPS |
|
|
Face Detection (SP)
|
100% |
1775
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
6638
78.9 IPS |
|
|
Face Detection (Q)
|
97% |
11835
141.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2604
20.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3854
29.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
12254
97.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14953
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11087
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
2581
3.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2005
74.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1494
55.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3829
141.8 IPS |
|
|
Text Classification (SP)
|
100% |
1525
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
656
875.6 IPS |
|
|
Text Classification (Q)
|
97% |
1177
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2348
40.4 IPS |
|
|
Machine Translation (HP)
|
99% |
2855
49.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3534
71.0 IPS |
