LENOVO 30K5001XUS
Geekbench AI Score
5259
Single Precision Score
8720
Half Precision Score
13476
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | January 17 2026 09:19 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3699
687.9 IPS |
|
|
Image Classification (HP)
|
100% |
5955
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
7762
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2775
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7346
119.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10321
167.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11962
14.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
11346
13.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
37876
44.3 IPS |
|
|
Object Detection (SP)
|
100% |
3356
266.2 IPS |
|
|
Object Detection (HP)
|
100% |
5711
453.0 IPS |
|
|
Object Detection (Q)
|
88% |
9308
745.9 IPS |
|
|
Face Detection (SP)
|
100% |
5706
67.8 IPS |
|
|
Face Detection (HP)
|
100% |
12276
145.9 IPS |
|
|
Face Detection (Q)
|
100% |
21640
257.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11812
91.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
21152
163.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
26000
202.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29557
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39810
51.2 IPS |
|
|
Style Transfer (Q)
|
98% |
91521
118.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4997
184.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9202
339.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15169
561.8 IPS |
|
|
Text Classification (SP)
|
71% |
1603
2.32 KIPS |
|
|
Text Classification (HP)
|
71% |
2687
3.89 KIPS |
|
|
Text Classification (Q)
|
92% |
2539
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2463
42.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3512
60.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3528
61.0 IPS |
