Lenovo Thinkpad P14s Gen 6 AMD LENOVO 21RWS0HC00
Geekbench AI Score
5115
Single Precision Score
5017
Half Precision Score
13870
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ridelisle |
| Upload Date | January 07 2026 10:24 PM |
| Views | 11 |
| Notes | Windows 11 power mode set to "Balanced". |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX PRO 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21RWS0HC00 |
| Motherboard | LENOVO 21RWS0HC00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX PRO 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2414
448.9 IPS |
|
|
Image Classification (HP)
|
100% |
2283
424.5 IPS |
|
|
Image Classification (Q)
|
100% |
8491
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4248
68.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3304
53.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11082
179.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7387
8.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
7531
8.79 IPS |
|
|
Pose Estimation (Q)
|
98% |
28232
33.1 IPS |
|
|
Object Detection (SP)
|
100% |
2940
233.2 IPS |
|
|
Object Detection (HP)
|
100% |
2973
235.8 IPS |
|
|
Object Detection (Q)
|
88% |
9144
733.0 IPS |
|
|
Face Detection (SP)
|
100% |
7780
92.4 IPS |
|
|
Face Detection (HP)
|
100% |
7538
89.6 IPS |
|
|
Face Detection (Q)
|
100% |
24971
296.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8922
68.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8949
68.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
23061
179.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20527
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20564
26.4 IPS |
|
|
Style Transfer (Q)
|
98% |
73870
95.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4156
153.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4390
162.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14582
540.0 IPS |
|
|
Text Classification (SP)
|
100% |
2506
3.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2594
3.46 KIPS |
|
|
Text Classification (Q)
|
92% |
3740
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3713
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3791
65.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4677
80.6 IPS |
