LENOVO 30K5001XUS
Geekbench AI Score
8420
Single Precision Score
9187
Half Precision Score
15740
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | January 17 2026 09:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
6185
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
6916
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
10744
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8160
132.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4372
70.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12732
206.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11818
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10002
11.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
24985
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
5843
463.5 IPS |
|
|
Object Detection (HP)
|
100% |
6973
553.1 IPS |
|
|
Object Detection (Q)
|
88% |
11326
907.9 IPS |
|
|
Face Detection (SP)
|
100% |
15392
182.9 IPS |
|
|
Face Detection (HP)
|
100% |
20758
246.7 IPS |
|
|
Face Detection (Q)
|
100% |
28027
333.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12225
94.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16553
127.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
31485
244.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26016
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28291
36.4 IPS |
|
|
Style Transfer (Q)
|
98% |
75743
97.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7058
260.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8778
324.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17425
645.3 IPS |
|
|
Text Classification (SP)
|
100% |
3749
5.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3455
4.61 KIPS |
|
|
Text Classification (Q)
|
92% |
5772
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3969
68.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6896
118.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3587
61.8 IPS |
