LENOVO 21MA003QHV
Geekbench AI Score
2873
Single Precision Score
1156
Half Precision Score
5190
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | vtomi07 |
| Upload Date | June 07 2025 08:29 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2197
408.5 IPS |
|
|
Image Classification (HP)
|
100% |
433
80.5 IPS |
|
|
Image Classification (Q)
|
99% |
4761
887.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1319
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
797
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2834
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4790
5.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3277
3.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
17395
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2117
167.9 IPS |
|
|
Object Detection (HP)
|
100% |
516
40.9 IPS |
|
|
Object Detection (Q)
|
86% |
4975
399.9 IPS |
|
|
Face Detection (SP)
|
100% |
5836
69.3 IPS |
|
|
Face Detection (HP)
|
100% |
1329
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
7096
84.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6146
47.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1624
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
11697
93.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11459
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7675
9.87 IPS |
|
|
Style Transfer (Q)
|
98% |
17445
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1816
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1413
52.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2777
102.8 IPS |
|
|
Text Classification (SP)
|
100% |
1098
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
518
690.8 IPS |
|
|
Text Classification (Q)
|
97% |
1316
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1592
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
607
10.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2298
46.2 IPS |
