LENOVO 21MMS0PN00
Geekbench AI Score
2339
Single Precision Score
8037
Half Precision Score
12897
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 04:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21MMS0PN00 |
| Motherboard | LENOVO 21MMS0PN00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 165U |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1213
225.7 IPS |
|
|
Image Classification (HP)
|
100% |
6095
1.13 KIPS |
|
|
Image Classification (Q)
|
100% |
8869
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2356
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3055
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3304
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
29753
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
63187
74.0 IPS |
|
|
Object Detection (SP)
|
100% |
1209
95.9 IPS |
|
|
Object Detection (HP)
|
100% |
5020
398.2 IPS |
|
|
Object Detection (Q)
|
88% |
8658
694.1 IPS |
|
|
Face Detection (SP)
|
100% |
3663
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
13092
155.6 IPS |
|
|
Face Detection (Q)
|
100% |
26478
314.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4100
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12262
94.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
24670
192.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9074
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36122
46.4 IPS |
|
|
Style Transfer (Q)
|
98% |
69312
89.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1836
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14022
517.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27292
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
1707
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1803
2.41 KIPS |
|
|
Text Classification (Q)
|
92% |
1929
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1311
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3579
61.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3606
62.1 IPS |
