LENOVO 30HTCTO1WW
Geekbench AI Score
7407
Single Precision Score
2708
Half Precision Score
11972
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 06 2026 08:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30HTCTO1WW |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6002
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
919
171.0 IPS |
|
|
Image Classification (Q)
|
99% |
10648
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2657
43.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1690
27.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
17961
292.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15874
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
8593
10.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
50983
59.8 IPS |
|
|
Object Detection (SP)
|
100% |
5442
431.7 IPS |
|
|
Object Detection (HP)
|
100% |
1193
94.6 IPS |
|
|
Object Detection (Q)
|
86% |
12497
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
16912
201.0 IPS |
|
|
Face Detection (HP)
|
100% |
2654
31.5 IPS |
|
|
Face Detection (Q)
|
97% |
14008
167.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16543
127.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3672
28.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
26733
213.3 IPS |
|
|
Style Transfer (SP)
|
100% |
34231
44.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21600
27.8 IPS |
|
|
Style Transfer (Q)
|
98% |
26001
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5797
214.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3647
134.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6790
251.4 IPS |
|
|
Text Classification (SP)
|
100% |
1960
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1093
1.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1645
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3316
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1592
27.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4565
91.7 IPS |
