LENOVO 21QDCTO1WW
Geekbench AI Score
230
Single Precision Score
235
Half Precision Score
307
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| Upload Date | February 13 2026 07:42 AM |
| Views | 6 |
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% |
54
9.96 IPS |
|
|
Image Classification (HP)
|
100% |
85
15.9 IPS |
|
|
Image Classification (Q)
|
99% |
215
40.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
240
3.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
224
3.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
503
8.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
1022
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1045
1.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
1165
1.36 IPS |
|
|
Object Detection (SP)
|
100% |
783
62.1 IPS |
|
|
Object Detection (HP)
|
100% |
87
6.91 IPS |
|
|
Object Detection (Q)
|
85% |
147
11.8 IPS |
|
|
Face Detection (SP)
|
100% |
840
9.98 IPS |
|
|
Face Detection (HP)
|
100% |
316
3.75 IPS |
|
|
Face Detection (Q)
|
97% |
648
7.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
459
3.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
429
3.31 IPS |
|
|
Depth Estimation (Q)
|
63% |
332
3.11 IPS |
|
|
Style Transfer (SP)
|
100% |
1710
2.20 IPS |
|
|
Style Transfer (HP)
|
100% |
1731
2.22 IPS |
|
|
Style Transfer (Q)
|
98% |
2256
2.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
184
6.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
192
7.10 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
248
9.19 IPS |
|
|
Text Classification (SP)
|
100% |
11
14.5 IPS |
|
|
Text Classification (HP)
|
100% |
11
15.0 IPS |
|
|
Text Classification (Q)
|
92% |
13
17.2 IPS |
|
|
Machine Translation (SP)
|
100% |
30
0.52 IPS |
|
|
Machine Translation (HP)
|
100% |
599
10.3 IPS |
|
|
Machine Translation (Q)
|
58% |
257
6.03 IPS |
