LENOVO 30HSCTO1WW
Geekbench AI Score
8951
Single Precision Score
10262
Half Precision Score
15899
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | cotocisternas |
| Upload Date | December 30 2025 02:09 PM |
| Views | 6 |
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 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% |
6251
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
7132
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
10001
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8425
136.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2857
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3583
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13631
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
35128
41.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
75105
88.0 IPS |
|
|
Object Detection (SP)
|
100% |
5872
465.8 IPS |
|
|
Object Detection (HP)
|
100% |
6168
489.2 IPS |
|
|
Object Detection (Q)
|
88% |
10333
828.4 IPS |
|
|
Face Detection (SP)
|
100% |
16271
193.3 IPS |
|
|
Face Detection (HP)
|
100% |
17784
211.3 IPS |
|
|
Face Detection (Q)
|
100% |
33908
402.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14196
109.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18527
142.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
34125
265.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32580
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
53766
69.1 IPS |
|
|
Style Transfer (Q)
|
98% |
97637
125.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8518
314.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16205
598.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31365
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
4069
5.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2126
2.84 KIPS |
|
|
Text Classification (Q)
|
92% |
2168
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3005
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4808
82.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4832
83.2 IPS |
