LENOVO 21TDCTO1WW
Geekbench AI Score
3827
Single Precision Score
1494
Half Precision Score
7105
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 18 2025 09:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21TDCTO1WW |
| Motherboard | LENOVO 21TDCTO1WW |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2940
546.7 IPS |
|
|
Image Classification (HP)
|
100% |
552
102.6 IPS |
|
|
Image Classification (Q)
|
99% |
6378
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1697
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
957
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9139
148.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6398
7.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
3998
4.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
20951
24.6 IPS |
|
|
Object Detection (SP)
|
100% |
2821
223.8 IPS |
|
|
Object Detection (HP)
|
100% |
706
56.0 IPS |
|
|
Object Detection (Q)
|
86% |
6136
493.2 IPS |
|
|
Face Detection (SP)
|
100% |
8997
106.9 IPS |
|
|
Face Detection (HP)
|
100% |
1630
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
8537
101.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8047
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2084
16.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
14678
117.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14865
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10833
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
22125
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2642
97.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1891
69.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4587
169.9 IPS |
|
|
Text Classification (SP)
|
100% |
1471
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
631
842.8 IPS |
|
|
Text Classification (Q)
|
97% |
1264
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1793
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2722
54.7 IPS |
