LENOVO 21QDCTO1WW
Geekbench AI Score
594
Single Precision Score
427
Half Precision Score
322
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| Upload Date | February 13 2026 07:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core Ultra 5 225H |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.4 LTS |
| Model | LENOVO 21QDCTO1WW |
| Motherboard | LENOVO 21QDCTO1WW |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 4.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1486
276.3 IPS |
|
|
Image Classification (HP)
|
100% |
1171
217.8 IPS |
|
|
Image Classification (Q)
|
99% |
1087
202.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1841
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2174
35.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1071
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1275
1.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
1017
1.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
1151
1.35 IPS |
|
|
Object Detection (SP)
|
100% |
599
47.5 IPS |
|
|
Object Detection (HP)
|
100% |
692
54.9 IPS |
|
|
Object Detection (Q)
|
85% |
188
15.1 IPS |
|
|
Face Detection (SP)
|
100% |
249
2.95 IPS |
|
|
Face Detection (HP)
|
100% |
1246
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
301
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
426
3.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
605
4.66 IPS |
|
|
Depth Estimation (Q)
|
63% |
402
3.77 IPS |
|
|
Style Transfer (SP)
|
100% |
1868
2.40 IPS |
|
|
Style Transfer (HP)
|
100% |
1637
2.10 IPS |
|
|
Style Transfer (Q)
|
98% |
2197
2.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
258
9.53 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
170
6.28 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
280
10.4 IPS |
|
|
Text Classification (SP)
|
100% |
526
701.9 IPS |
|
|
Text Classification (HP)
|
100% |
17
22.1 IPS |
|
|
Text Classification (Q)
|
92% |
13
17.9 IPS |
|
|
Machine Translation (SP)
|
100% |
98
1.69 IPS |
|
|
Machine Translation (HP)
|
100% |
32
0.55 IPS |
|
|
Machine Translation (Q)
|
58% |
50
1.18 IPS |
