LENOVO 21MAS0NT00
Geekbench AI Score
2004
Single Precision Score
896
Half Precision Score
4131
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 01:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Business (64-bit) |
| Model | LENOVO 21MAS0NT00 |
| Motherboard | LENOVO 21MAS0NT00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1731
321.9 IPS |
|
|
Image Classification (HP)
|
100% |
374
69.5 IPS |
|
|
Image Classification (Q)
|
99% |
3905
728.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
829
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
593
9.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
2166
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3349
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2173
2.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
12408
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1601
127.0 IPS |
|
|
Object Detection (HP)
|
100% |
408
32.4 IPS |
|
|
Object Detection (Q)
|
86% |
3683
296.0 IPS |
|
|
Face Detection (SP)
|
100% |
3278
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
950
11.3 IPS |
|
|
Face Detection (Q)
|
97% |
4790
57.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3236
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1269
9.78 IPS |
|
|
Depth Estimation (Q)
|
78% |
9300
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7874
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
5065
6.51 IPS |
|
|
Style Transfer (Q)
|
98% |
12417
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1472
54.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1066
39.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2788
103.2 IPS |
|
|
Text Classification (SP)
|
100% |
1065
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
562
750.7 IPS |
|
|
Text Classification (Q)
|
97% |
1339
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1042
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
464
7.99 IPS |
|
|
Machine Translation (Q)
|
65% |
1817
36.5 IPS |
