LENOVO 30HSCTO1WW
Geekbench AI Score
9205
Single Precision Score
9626
Half Precision Score
16813
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | cotocisternas |
| Upload Date | December 30 2025 02:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30HSCTO1WW |
| Motherboard | LENOVO 106F |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
6540
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
7454
1.39 KIPS |
|
|
Image Classification (Q)
|
100% |
11173
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8282
134.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4803
77.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12410
201.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14787
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13918
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
31994
37.5 IPS |
|
|
Object Detection (SP)
|
100% |
5721
453.8 IPS |
|
|
Object Detection (HP)
|
100% |
7498
594.8 IPS |
|
|
Object Detection (Q)
|
88% |
11963
959.0 IPS |
|
|
Face Detection (SP)
|
100% |
16650
197.8 IPS |
|
|
Face Detection (HP)
|
100% |
21229
252.2 IPS |
|
|
Face Detection (Q)
|
100% |
30760
365.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14040
108.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16969
130.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
30587
237.8 IPS |
|
|
Style Transfer (SP)
|
100% |
33215
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25910
33.3 IPS |
|
|
Style Transfer (Q)
|
98% |
90679
116.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8738
322.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7298
269.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18135
671.6 IPS |
|
|
Text Classification (SP)
|
100% |
4166
5.56 KIPS |
|
|
Text Classification (HP)
|
100% |
3809
5.08 KIPS |
|
|
Text Classification (Q)
|
92% |
6082
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3374
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7049
121.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3615
62.3 IPS |
