LENOVO 90YA0012US
Geekbench AI Score
6645
Single Precision Score
10230
Half Precision Score
15881
Quantized Score
Geekbench AI 1.6.0 Corporate for Windows AVX2
Result Information
| Upload Date | December 02 2025 08:16 PM |
| Views | 8 |
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 90YA0012US |
| Motherboard | LENOVO 378B |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265KF |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3986
741.3 IPS |
|
|
Image Classification (HP)
|
100% |
7174
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
9940
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5162
83.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2825
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3552
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7854
9.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
34964
40.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
74825
87.6 IPS |
|
|
Object Detection (SP)
|
100% |
3897
309.1 IPS |
|
|
Object Detection (HP)
|
100% |
6150
487.8 IPS |
|
|
Object Detection (Q)
|
88% |
10355
830.1 IPS |
|
|
Face Detection (SP)
|
100% |
11797
140.2 IPS |
|
|
Face Detection (HP)
|
100% |
18140
215.5 IPS |
|
|
Face Detection (Q)
|
100% |
34025
404.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9977
76.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18573
143.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
34925
271.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23184
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
54372
69.9 IPS |
|
|
Style Transfer (Q)
|
98% |
99178
127.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4786
176.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16124
595.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31210
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3993
5.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2066
2.76 KIPS |
|
|
Text Classification (Q)
|
92% |
2109
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5119
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4723
81.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4809
82.8 IPS |
