LENOVO 21NS0011US-X1 GEN13 LENOVO 21NS0011US
Geekbench AI Score
3119
Single Precision Score
1416
Half Precision Score
6324
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | chrishoesel |
| Upload Date | December 01 2025 06:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21NS0011US |
| Motherboard | LENOVO 21NS0011US |
| 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% |
2290
425.9 IPS |
|
|
Image Classification (HP)
|
100% |
543
101.1 IPS |
|
|
Image Classification (Q)
|
99% |
5053
942.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1389
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
960
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6990
113.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4706
5.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
3441
4.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
16213
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2192
173.9 IPS |
|
|
Object Detection (HP)
|
100% |
636
50.4 IPS |
|
|
Object Detection (Q)
|
86% |
5023
403.7 IPS |
|
|
Face Detection (SP)
|
100% |
6447
76.6 IPS |
|
|
Face Detection (HP)
|
100% |
1543
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
8186
97.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5883
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1987
15.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
12867
102.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11731
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8896
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20770
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2178
80.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1624
59.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4790
177.4 IPS |
|
|
Text Classification (SP)
|
100% |
1361
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
698
931.5 IPS |
|
|
Text Classification (Q)
|
97% |
1311
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2018
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
924
15.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2592
52.1 IPS |
