LENOVO 21QDCTO1WW
Geekbench AI Score
1337
Single Precision Score
1381
Half Precision Score
1034
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| Upload Date | February 13 2026 09:39 AM |
| Views | 2 |
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% |
919
170.8 IPS |
|
|
Image Classification (HP)
|
100% |
1053
195.9 IPS |
|
|
Image Classification (Q)
|
99% |
778
145.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1711
27.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1005
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1410
1.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
1325
1.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
1707
2.00 IPS |
|
|
Object Detection (SP)
|
100% |
1103
87.5 IPS |
|
|
Object Detection (HP)
|
100% |
1253
99.4 IPS |
|
|
Object Detection (Q)
|
85% |
894
71.9 IPS |
|
|
Face Detection (SP)
|
100% |
1979
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
1973
23.4 IPS |
|
|
Face Detection (Q)
|
97% |
1388
16.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1298
10.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1423
11.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1088
10.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2348
3.02 IPS |
|
|
Style Transfer (HP)
|
100% |
2474
3.18 IPS |
|
|
Style Transfer (Q)
|
98% |
3769
4.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
984
36.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
953
35.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1424
52.8 IPS |
|
|
Text Classification (SP)
|
100% |
829
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
815
1.09 KIPS |
|
|
Text Classification (Q)
|
92% |
424
569.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1642
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1574
27.1 IPS |
|
|
Machine Translation (Q)
|
58% |
343
8.06 IPS |
