LENOVO 90Y80000US
Geekbench AI Score
9236
Single Precision Score
9749
Half Precision Score
16530
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | rjoanglin |
| Upload Date | December 05 2025 02:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 90Y80000US |
| Motherboard | LENOVO 3784 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6125
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
6865
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
10514
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8208
133.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4809
78.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12945
209.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14757
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13741
16.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
31020
36.3 IPS |
|
|
Object Detection (SP)
|
100% |
5355
424.8 IPS |
|
|
Object Detection (HP)
|
100% |
6408
508.3 IPS |
|
|
Object Detection (Q)
|
88% |
11506
922.3 IPS |
|
|
Face Detection (SP)
|
100% |
15732
186.9 IPS |
|
|
Face Detection (HP)
|
100% |
20126
239.1 IPS |
|
|
Face Detection (Q)
|
100% |
31623
375.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14443
111.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16947
130.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
31077
241.6 IPS |
|
|
Style Transfer (SP)
|
100% |
40756
52.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39207
50.4 IPS |
|
|
Style Transfer (Q)
|
98% |
91446
117.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8883
328.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9330
344.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17475
647.2 IPS |
|
|
Text Classification (SP)
|
100% |
4336
5.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (Q)
|
92% |
5895
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3189
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6560
113.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3387
58.3 IPS |
