LENOVO 21NS0010MZ
Geekbench AI Score
1631
Single Precision Score
803
Half Precision Score
3771
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | oiskin |
| Upload Date | October 09 2025 01:18 PM |
| Views | 6 |
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 21NS0010MZ |
| Motherboard | LENOVO 21NS0010MZ |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
1738
323.2 IPS |
|
|
Image Classification (HP)
|
100% |
398
74.1 IPS |
|
|
Image Classification (Q)
|
99% |
3162
589.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
761
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
576
9.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
4874
79.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2237
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1527
1.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
7290
8.55 IPS |
|
|
Object Detection (SP)
|
100% |
928
73.6 IPS |
|
|
Object Detection (HP)
|
100% |
368
29.2 IPS |
|
|
Object Detection (Q)
|
86% |
3269
262.7 IPS |
|
|
Face Detection (SP)
|
100% |
2185
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
800
9.50 IPS |
|
|
Face Detection (Q)
|
97% |
5339
63.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3171
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1053
8.12 IPS |
|
|
Depth Estimation (Q)
|
78% |
8231
65.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5265
6.77 IPS |
|
|
Style Transfer (HP)
|
100% |
4853
6.24 IPS |
|
|
Style Transfer (Q)
|
98% |
9198
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1016
37.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
965
35.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2581
95.6 IPS |
|
|
Text Classification (SP)
|
100% |
1077
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
451
602.1 IPS |
|
|
Text Classification (Q)
|
97% |
919
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1222
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.43 IPS |
|
|
Machine Translation (Q)
|
65% |
1654
33.2 IPS |
