LENOVO 21MA003QHV
Geekbench AI Score
2608
Single Precision Score
2675
Half Precision Score
6373
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | vtomi07 |
| Upload Date | June 07 2025 08:32 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21MA003QHV |
| Motherboard | LENOVO 21MA003QHV |
| Power Plan | Kiegyenslyozott |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1368
254.3 IPS |
|
|
Image Classification (HP)
|
100% |
1332
247.7 IPS |
|
|
Image Classification (Q)
|
100% |
4650
864.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2263
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4203
68.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3577
4.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
3757
4.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
13425
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1315
104.3 IPS |
|
|
Object Detection (HP)
|
100% |
1361
108.0 IPS |
|
|
Object Detection (Q)
|
88% |
3766
301.9 IPS |
|
|
Face Detection (SP)
|
100% |
4391
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
4409
52.4 IPS |
|
|
Face Detection (Q)
|
100% |
8843
105.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3915
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4057
31.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
10597
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10593
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10934
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
35145
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2002
73.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2091
77.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6722
248.9 IPS |
|
|
Text Classification (SP)
|
100% |
1771
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1766
2.36 KIPS |
|
|
Text Classification (Q)
|
92% |
2964
3.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1685
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1687
29.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1707
29.4 IPS |
