LENOVO 30HSCTO1WW
Geekbench AI Score
23728
Single Precision Score
37932
Half Precision Score
18126
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | cotocisternas |
| Upload Date | December 30 2025 02:06 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 4000 Ada Generation |
| 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% |
9012
1.68 KIPS |
|
|
Image Classification (HP)
|
99% |
14843
2.77 KIPS |
|
|
Image Classification (Q)
|
100% |
8106
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18501
299.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
25768
417.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
16470
267.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
124167
144.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
332729
388.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
110688
129.7 IPS |
|
|
Object Detection (SP)
|
100% |
11196
888.1 IPS |
|
|
Object Detection (HP)
|
100% |
18612
1.48 KIPS |
|
|
Object Detection (Q)
|
85% |
9696
780.5 IPS |
|
|
Face Detection (SP)
|
100% |
32708
388.6 IPS |
|
|
Face Detection (HP)
|
100% |
49131
583.8 IPS |
|
|
Face Detection (Q)
|
97% |
27411
326.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
55317
426.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98352
757.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
43610
348.2 IPS |
|
|
Style Transfer (SP)
|
100% |
207911
267.3 IPS |
|
|
Style Transfer (HP)
|
100% |
505096
649.3 IPS |
|
|
Style Transfer (Q)
|
98% |
184152
237.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38919
1.44 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50495
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27634
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3259
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
4112
5.49 KIPS |
|
|
Text Classification (Q)
|
97% |
1902
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5117
88.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5138
88.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2310
43.3 IPS |
