LENOVO 90YA0012US
Geekbench AI Score
6653
Single Precision Score
9887
Half Precision Score
15064
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for Windows AVX2
Result Information
| Upload Date | September 02 2025 05:01 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 90YA0012US |
| Motherboard | LENOVO 378B |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
4091
760.8 IPS |
|
|
Image Classification (HP)
|
100% |
6921
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
9396
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5487
89.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2892
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3934
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7966
9.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
34525
40.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
74950
87.8 IPS |
|
|
Object Detection (SP)
|
100% |
3770
299.1 IPS |
|
|
Object Detection (HP)
|
100% |
6179
490.1 IPS |
|
|
Object Detection (Q)
|
87% |
10006
803.1 IPS |
|
|
Face Detection (SP)
|
100% |
11158
132.6 IPS |
|
|
Face Detection (HP)
|
100% |
17195
204.3 IPS |
|
|
Face Detection (Q)
|
100% |
31750
377.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9816
75.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18610
143.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
34494
268.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23101
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
52076
66.9 IPS |
|
|
Style Transfer (Q)
|
98% |
96024
123.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4855
179.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14215
524.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23526
871.3 IPS |
|
|
Text Classification (SP)
|
100% |
4043
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1997
2.67 KIPS |
|
|
Text Classification (Q)
|
92% |
1950
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5080
87.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4423
76.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4500
77.5 IPS |
