LENOVO 21ML0024IX
Geekbench AI Score
2268
Single Precision Score
1008
Half Precision Score
4774
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 12:06 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1809
336.4 IPS |
|
|
Image Classification (HP)
|
100% |
414
77.0 IPS |
|
|
Image Classification (Q)
|
99% |
3777
704.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1035
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5389
87.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3447
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2144
2.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
11552
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1609
127.6 IPS |
|
|
Object Detection (HP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (Q)
|
86% |
3861
310.3 IPS |
|
|
Face Detection (SP)
|
100% |
3733
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
1114
13.2 IPS |
|
|
Face Detection (Q)
|
97% |
6369
75.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4442
34.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1447
11.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9929
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7988
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
5387
6.93 IPS |
|
|
Style Transfer (Q)
|
98% |
13091
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1504
55.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1112
41.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3348
124.0 IPS |
|
|
Text Classification (SP)
|
100% |
1304
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
596
795.6 IPS |
|
|
Text Classification (Q)
|
97% |
1199
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1338
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
616
10.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2040
41.0 IPS |
