LENOVO 21ML0024IX
Geekbench AI Score
2387
Single Precision Score
2402
Half Precision Score
5784
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 12:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21ML0024IX |
| Motherboard | LENOVO 21ML0024IX |
| Power Plan | Bilanciato |
| 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% |
1322
245.8 IPS |
|
|
Image Classification (HP)
|
100% |
1350
251.1 IPS |
|
|
Image Classification (Q)
|
100% |
4048
752.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1926
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1887
30.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3653
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3089
3.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
3053
3.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
10804
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1297
102.9 IPS |
|
|
Object Detection (HP)
|
100% |
1309
103.8 IPS |
|
|
Object Detection (Q)
|
88% |
3152
252.6 IPS |
|
|
Face Detection (SP)
|
100% |
3349
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
3358
39.9 IPS |
|
|
Face Detection (Q)
|
100% |
7838
93.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3708
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3701
28.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
10005
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8782
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8748
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
30925
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1749
64.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1739
64.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6117
226.5 IPS |
|
|
Text Classification (SP)
|
100% |
1566
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1546
2.06 KIPS |
|
|
Text Classification (Q)
|
92% |
2681
3.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1971
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2156
37.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2095
36.1 IPS |
