LENOVO 21MN00B9RI
Geekbench AI Score
2846
Single Precision Score
4682
Half Precision Score
2039
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 18 2025 03:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21MN00B9RI |
| Motherboard | LENOVO 21MN00B9RI |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1102
205.0 IPS |
|
|
Image Classification (HP)
|
100% |
2123
394.9 IPS |
|
|
Image Classification (Q)
|
100% |
967
179.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1833
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4303
69.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1528
24.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7716
9.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
12199
14.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
6674
7.82 IPS |
|
|
Object Detection (SP)
|
100% |
1401
111.1 IPS |
|
|
Object Detection (HP)
|
99% |
2677
212.9 IPS |
|
|
Object Detection (Q)
|
86% |
1137
91.4 IPS |
|
|
Face Detection (SP)
|
100% |
2655
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
4884
58.0 IPS |
|
|
Face Detection (Q)
|
97% |
2092
24.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5122
39.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10945
84.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
4010
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22254
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34379
44.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18126
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4277
157.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7079
261.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2374
87.9 IPS |
|
|
Text Classification (SP)
|
86% |
727
982.7 IPS |
|
|
Text Classification (HP)
|
99% |
661
882.4 IPS |
|
|
Text Classification (Q)
|
84% |
396
537.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1699
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1977
34.1 IPS |
|
|
Machine Translation (Q)
|
70% |
778
14.6 IPS |
