LENOVO 90Y80000US
Geekbench AI Score
6985
Single Precision Score
2570
Half Precision Score
10974
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | rjoanglin |
| Upload Date | December 05 2025 02:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
5774
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
910
169.2 IPS |
|
|
Image Classification (Q)
|
99% |
9658
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2630
42.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1565
25.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
17163
279.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15891
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
7637
8.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
40753
47.8 IPS |
|
|
Object Detection (SP)
|
100% |
4929
391.0 IPS |
|
|
Object Detection (HP)
|
100% |
1174
93.1 IPS |
|
|
Object Detection (Q)
|
86% |
12204
980.8 IPS |
|
|
Face Detection (SP)
|
100% |
15798
187.7 IPS |
|
|
Face Detection (HP)
|
100% |
2598
30.9 IPS |
|
|
Face Detection (Q)
|
97% |
13836
165.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15743
121.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3527
27.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
23280
185.8 IPS |
|
|
Style Transfer (SP)
|
100% |
35245
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19526
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
25308
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4599
169.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3417
126.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5486
203.1 IPS |
|
|
Text Classification (SP)
|
100% |
1910
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1110
1.48 KIPS |
|
|
Text Classification (Q)
|
97% |
1613
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3021
52.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1454
25.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4263
85.7 IPS |
