LENOVO UserModeMTM
Geekbench AI Score
2831
Single Precision Score
2805
Half Precision Score
6546
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 08:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO UserModeMTM |
| Motherboard | LENOVO 378C |
| Power Plan | Lenovo |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1244
231.3 IPS |
|
|
Image Classification (HP)
|
100% |
1221
227.1 IPS |
|
|
Image Classification (Q)
|
100% |
4181
777.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2507
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2431
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4595
74.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4566
5.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
4395
5.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
15190
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (Q)
|
88% |
4021
322.3 IPS |
|
|
Face Detection (SP)
|
100% |
4683
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
4686
55.7 IPS |
|
|
Face Detection (Q)
|
100% |
9209
109.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4379
33.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4248
32.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
10729
83.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12609
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12596
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27933
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1592
58.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1642
60.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6533
241.9 IPS |
|
|
Text Classification (SP)
|
100% |
1610
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1610
2.15 KIPS |
|
|
Text Classification (Q)
|
92% |
2965
3.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2326
40.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2309
39.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2303
39.7 IPS |
