LENOVO 90Y6003RUS
Geekbench AI Score
36144
Single Precision Score
60287
Half Precision Score
27462
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 16 2025 01:26 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 90Y6003RUS |
| Motherboard | LENOVO 3784 |
| Power Plan | Lenovo PRLAB |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
14309
2.66 KIPS |
|
|
Image Classification (HP)
|
100% |
21198
3.94 KIPS |
|
|
Image Classification (Q)
|
100% |
12311
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27243
441.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
37894
614.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
24041
390.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
237894
277.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
697059
813.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
204055
239.0 IPS |
|
|
Object Detection (SP)
|
100% |
18327
1.45 KIPS |
|
|
Object Detection (HP)
|
100% |
27178
2.16 KIPS |
|
|
Object Detection (Q)
|
86% |
15738
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
53113
631.1 IPS |
|
|
Face Detection (HP)
|
100% |
79302
942.3 IPS |
|
|
Face Detection (Q)
|
97% |
44569
531.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
89501
689.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
173418
1.34 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65829
525.7 IPS |
|
|
Style Transfer (SP)
|
100% |
345671
444.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1117029
1.44 KIPS |
|
|
Style Transfer (Q)
|
98% |
303996
392.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53685
1.98 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82417
3.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40587
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
3790
5.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4912
6.56 KIPS |
|
|
Text Classification (Q)
|
97% |
2356
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
6698
115.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6702
115.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3010
56.5 IPS |
