LENOVO 21MAS01X00
Geekbench AI Score
2229
Single Precision Score
961
Half Precision Score
3944
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 05:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 21MAS01X00 |
| Motherboard | LENOVO 21MAS01X00 |
| 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% |
436
81.2 IPS |
|
|
Image Classification (HP)
|
100% |
310
57.6 IPS |
|
|
Image Classification (Q)
|
99% |
4335
808.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
612
9.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
2189
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4356
5.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
2652
3.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
15462
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
1716
136.1 IPS |
|
|
Object Detection (HP)
|
100% |
364
28.9 IPS |
|
|
Object Detection (Q)
|
86% |
3852
309.6 IPS |
|
|
Face Detection (SP)
|
100% |
5055
60.1 IPS |
|
|
Face Detection (HP)
|
100% |
1023
12.2 IPS |
|
|
Face Detection (Q)
|
97% |
5590
66.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4795
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1338
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
9435
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9898
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7032
9.04 IPS |
|
|
Style Transfer (Q)
|
98% |
15489
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1959
72.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1488
54.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2904
107.5 IPS |
|
|
Text Classification (SP)
|
100% |
1040
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
504
672.5 IPS |
|
|
Text Classification (Q)
|
97% |
354
474.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1452
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
511
8.81 IPS |
|
|
Machine Translation (Q)
|
65% |
1920
38.6 IPS |
