LENOVO 30K5001XUS
Geekbench AI Score
6768
Single Precision Score
2380
Half Precision Score
11047
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | January 17 2026 09:14 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30K5001XUS |
| Motherboard | LENOVO 337A |
| Power Plan | Lenovo High Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285 |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5445
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
836
155.5 IPS |
|
|
Image Classification (Q)
|
99% |
9476
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2779
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16529
268.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14759
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
7107
8.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
49179
57.7 IPS |
|
|
Object Detection (SP)
|
100% |
5001
396.7 IPS |
|
|
Object Detection (HP)
|
100% |
1099
87.2 IPS |
|
|
Object Detection (Q)
|
86% |
11375
914.2 IPS |
|
|
Face Detection (SP)
|
100% |
14575
173.2 IPS |
|
|
Face Detection (HP)
|
100% |
2380
28.3 IPS |
|
|
Face Detection (Q)
|
97% |
13170
157.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15520
119.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3147
24.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
25188
201.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32156
41.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19061
24.5 IPS |
|
|
Style Transfer (Q)
|
98% |
25405
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5111
188.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2999
110.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5885
217.9 IPS |
|
|
Text Classification (SP)
|
100% |
1702
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
981
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1550
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2856
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1395
24.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4019
80.8 IPS |
