LENOVO ThinkPad P14s Gen6 Intel LENOVO 21QTCTO1WW
Geekbench AI Score
1869
Single Precision Score
1866
Half Precision Score
1353
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | tlmiller76 |
| Upload Date | February 21 2026 07:24 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225H |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux forky/sid |
| Model | LENOVO 21QTCTO1WW |
| Motherboard | LENOVO 21QTCTO1WW |
| 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% |
1400
260.3 IPS |
|
|
Image Classification (HP)
|
100% |
1418
263.7 IPS |
|
|
Image Classification (Q)
|
99% |
962
179.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2030
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2041
33.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1048
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2317
2.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2306
2.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
2994
3.51 IPS |
|
|
Object Detection (SP)
|
100% |
1479
117.3 IPS |
|
|
Object Detection (HP)
|
100% |
1468
116.4 IPS |
|
|
Object Detection (Q)
|
85% |
889
71.6 IPS |
|
|
Face Detection (SP)
|
100% |
2643
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
2648
31.5 IPS |
|
|
Face Detection (Q)
|
97% |
2043
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2292
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2296
17.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1777
16.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3201
4.11 IPS |
|
|
Style Transfer (HP)
|
100% |
3229
4.15 IPS |
|
|
Style Transfer (Q)
|
98% |
5564
7.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1634
60.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1631
60.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1407
52.2 IPS |
|
|
Text Classification (SP)
|
100% |
870
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
836
1.12 KIPS |
|
|
Text Classification (Q)
|
92% |
516
692.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1945
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1959
33.8 IPS |
|
|
Machine Translation (Q)
|
58% |
524
12.3 IPS |
