LENOVO 90Y80000US
Geekbench AI Score
5689
Single Precision Score
9196
Half Precision Score
13874
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | rjoanglin |
| Upload Date | December 05 2025 02:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3992
742.5 IPS |
|
|
Image Classification (HP)
|
100% |
5948
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
7779
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3947
64.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8985
145.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11817
191.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12135
14.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
11438
13.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
38263
44.8 IPS |
|
|
Object Detection (SP)
|
100% |
3667
290.8 IPS |
|
|
Object Detection (HP)
|
100% |
5782
458.7 IPS |
|
|
Object Detection (Q)
|
88% |
9328
747.6 IPS |
|
|
Face Detection (SP)
|
100% |
8158
96.9 IPS |
|
|
Face Detection (HP)
|
100% |
16276
193.4 IPS |
|
|
Face Detection (Q)
|
100% |
25161
299.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12600
97.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
22048
170.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
25978
201.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29873
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41368
53.2 IPS |
|
|
Style Transfer (Q)
|
98% |
89697
115.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5262
194.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9536
352.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15345
568.3 IPS |
|
|
Text Classification (SP)
|
71% |
1549
2.24 KIPS |
|
|
Text Classification (HP)
|
71% |
2401
3.47 KIPS |
|
|
Text Classification (Q)
|
92% |
2500
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2027
34.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3602
62.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3582
61.9 IPS |
