ThinkPad X1 Carbon G13 NPU LENOVO 21NS0013US
Geekbench AI Score
3042
Single Precision Score
29173
Half Precision Score
47927
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | AndRusha |
| Upload Date | December 29 2025 01:13 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21NS0013US |
| Motherboard | LENOVO 21NS0013US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1921
357.3 IPS |
|
|
Image Classification (HP)
|
100% |
17263
3.21 KIPS |
|
|
Image Classification (Q)
|
100% |
23677
4.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18033
292.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30314
491.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3343
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
107163
125.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
249365
292.1 IPS |
|
|
Object Detection (SP)
|
100% |
1725
136.9 IPS |
|
|
Object Detection (HP)
|
100% |
18226
1.45 KIPS |
|
|
Object Detection (Q)
|
88% |
28648
2.30 KIPS |
|
|
Face Detection (SP)
|
100% |
5386
64.0 IPS |
|
|
Face Detection (HP)
|
100% |
38636
459.1 IPS |
|
|
Face Detection (Q)
|
100% |
80382
955.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4425
34.1 IPS |
|
|
Depth Estimation (HP)
|
92% |
84096
652.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
159814
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
7982
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
240597
309.3 IPS |
|
|
Style Transfer (Q)
|
98% |
382259
492.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2068
76.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41923
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86312
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
2155
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (Q)
|
92% |
3567
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3331
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6923
119.3 IPS |
|
|
Machine Translation (Q)
|
100% |
8250
142.1 IPS |
