LENOVO 30K5001XUS
Geekbench AI Score
8804
Single Precision Score
9288
Half Precision Score
14781
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | January 17 2026 09:24 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
6107
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
6952
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
10001
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8359
135.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2721
44.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3439
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13351
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
33878
39.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
71947
84.3 IPS |
|
|
Object Detection (SP)
|
100% |
5974
473.9 IPS |
|
|
Object Detection (HP)
|
100% |
5723
453.9 IPS |
|
|
Object Detection (Q)
|
88% |
9909
794.4 IPS |
|
|
Face Detection (SP)
|
100% |
16289
193.6 IPS |
|
|
Face Detection (HP)
|
100% |
15521
184.4 IPS |
|
|
Face Detection (Q)
|
100% |
30846
366.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13462
103.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14121
108.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
28257
219.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26536
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
43772
56.3 IPS |
|
|
Style Transfer (Q)
|
98% |
81313
104.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8554
315.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16090
594.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31235
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3795
5.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2014
2.69 KIPS |
|
|
Text Classification (Q)
|
92% |
2144
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3640
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4192
72.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4278
73.7 IPS |
