LENOVO 21MN00B9RI
Geekbench AI Score
1610
Single Precision Score
549
Half Precision Score
2526
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 18 2025 02:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155U |
| 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% |
1377
256.0 IPS |
|
|
Image Classification (HP)
|
100% |
196
36.5 IPS |
|
|
Image Classification (Q)
|
99% |
2528
471.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
482
7.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
308
5.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
1241
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2980
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
1292
1.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
8122
9.52 IPS |
|
|
Object Detection (SP)
|
100% |
1224
97.1 IPS |
|
|
Object Detection (HP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (Q)
|
86% |
2114
169.9 IPS |
|
|
Face Detection (SP)
|
100% |
3408
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
605
7.18 IPS |
|
|
Face Detection (Q)
|
97% |
3060
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4084
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
748
5.77 IPS |
|
|
Depth Estimation (Q)
|
78% |
7453
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7356
9.46 IPS |
|
|
Style Transfer (HP)
|
100% |
3546
4.56 IPS |
|
|
Style Transfer (Q)
|
98% |
9943
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1222
45.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
789
29.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1326
49.1 IPS |
|
|
Text Classification (SP)
|
100% |
538
718.0 IPS |
|
|
Text Classification (HP)
|
100% |
317
422.6 IPS |
|
|
Text Classification (Q)
|
97% |
584
782.6 IPS |
|
|
Machine Translation (SP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
289
4.98 IPS |
|
|
Machine Translation (Q)
|
65% |
1121
22.5 IPS |
