LENOVO 90Y6003RUS
Geekbench AI Score
36138
Single Precision Score
59684
Half Precision Score
27239
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 16 2025 01:22 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% |
14138
2.63 KIPS |
|
|
Image Classification (HP)
|
100% |
20867
3.88 KIPS |
|
|
Image Classification (Q)
|
100% |
12367
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26855
435.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
37401
606.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
23786
386.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
235386
274.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
695041
811.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
200816
235.2 IPS |
|
|
Object Detection (SP)
|
100% |
18345
1.46 KIPS |
|
|
Object Detection (HP)
|
100% |
27323
2.17 KIPS |
|
|
Object Detection (Q)
|
86% |
15814
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
53701
638.1 IPS |
|
|
Face Detection (HP)
|
100% |
78100
928.0 IPS |
|
|
Face Detection (Q)
|
97% |
43995
524.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
88935
685.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
166631
1.28 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65264
521.2 IPS |
|
|
Style Transfer (SP)
|
100% |
341422
438.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1100048
1.41 KIPS |
|
|
Style Transfer (Q)
|
98% |
299009
385.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53585
1.98 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82028
3.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40486
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
4013
5.36 KIPS |
|
|
Text Classification (HP)
|
100% |
4960
6.62 KIPS |
|
|
Text Classification (Q)
|
97% |
2342
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
6609
113.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6645
114.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2957
55.5 IPS |
