ThinkPad X1 Carbon G13 LENOVO 21NS0013US
Geekbench AI Score
7259
Single Precision Score
13321
Half Precision Score
4897
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | AndRusha |
| Upload Date | December 29 2025 01:20 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| 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% |
3559
661.8 IPS |
|
|
Image Classification (HP)
|
100% |
4430
823.8 IPS |
|
|
Image Classification (Q)
|
100% |
2681
498.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7136
115.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14184
229.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4994
81.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12145
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
31199
36.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
10812
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
4642
368.2 IPS |
|
|
Object Detection (HP)
|
100% |
8013
635.6 IPS |
|
|
Object Detection (Q)
|
88% |
3759
301.5 IPS |
|
|
Face Detection (SP)
|
100% |
9559
113.6 IPS |
|
|
Face Detection (HP)
|
100% |
18548
220.4 IPS |
|
|
Face Detection (Q)
|
97% |
6497
77.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18345
141.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
38090
293.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
13408
107.1 IPS |
|
|
Style Transfer (SP)
|
100% |
46615
59.9 IPS |
|
|
Style Transfer (HP)
|
100% |
181788
233.7 IPS |
|
|
Style Transfer (Q)
|
98% |
39226
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8767
323.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19732
728.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5437
201.3 IPS |
|
|
Text Classification (SP)
|
100% |
1295
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
1622
2.17 KIPS |
|
|
Text Classification (Q)
|
97% |
658
881.6 IPS |
|
|
Machine Translation (SP)
|
100% |
3060
52.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2725
46.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1193
22.4 IPS |
