LENOVO 21ML0024IX
Geekbench AI Score
2411
Single Precision Score
7722
Half Precision Score
12073
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 12:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1301
241.9 IPS |
|
|
Image Classification (HP)
|
100% |
5787
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
8258
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1740
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2476
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3342
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3119
3.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
29292
34.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
63531
74.4 IPS |
|
|
Object Detection (SP)
|
100% |
1362
108.1 IPS |
|
|
Object Detection (HP)
|
100% |
4807
381.3 IPS |
|
|
Object Detection (Q)
|
87% |
8279
664.4 IPS |
|
|
Face Detection (SP)
|
100% |
3528
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
11590
137.7 IPS |
|
|
Face Detection (Q)
|
100% |
21759
258.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3544
27.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12675
97.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
24181
188.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8715
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36406
46.8 IPS |
|
|
Style Transfer (Q)
|
98% |
70572
91.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1763
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11552
426.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19344
716.4 IPS |
|
|
Text Classification (SP)
|
100% |
1582
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1728
2.31 KIPS |
|
|
Text Classification (Q)
|
92% |
1782
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2277
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3504
60.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3543
61.0 IPS |
