LENOVO 21MX
Geekbench AI Score
4485
Single Precision Score
7729
Half Precision Score
12227
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | amazing |
| Upload Date | October 11 2025 02:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 21MX |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3286
611.1 IPS |
|
|
Image Classification (HP)
|
100% |
5491
1.02 KIPS |
|
|
Image Classification (Q)
|
100% |
7108
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6349
102.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9148
148.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11468
13.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
10661
12.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
36186
42.4 IPS |
|
|
Object Detection (SP)
|
100% |
2835
224.9 IPS |
|
|
Object Detection (HP)
|
100% |
5151
408.6 IPS |
|
|
Object Detection (Q)
|
88% |
8515
682.3 IPS |
|
|
Face Detection (SP)
|
100% |
4691
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
10222
121.5 IPS |
|
|
Face Detection (Q)
|
100% |
18788
223.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10253
79.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
18429
142.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
24067
187.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26627
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37128
47.7 IPS |
|
|
Style Transfer (Q)
|
98% |
83154
107.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4571
168.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8375
309.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14308
529.9 IPS |
|
|
Text Classification (SP)
|
71% |
1432
2.07 KIPS |
|
|
Text Classification (HP)
|
71% |
2291
3.31 KIPS |
|
|
Text Classification (Q)
|
92% |
2286
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1593
27.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2963
51.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3032
52.4 IPS |
