Lenovo ThinkPad P16s Gen 4 AMD LENOVO 21RX000LUS
Geekbench AI Score
5583
Single Precision Score
5680
Half Precision Score
14922
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ridelisle |
| Upload Date | January 12 2026 07:14 PM |
| Views | 4 |
| Notes | Windows 11 power mode set to "Best Performance". |
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 21RX000LUS |
| Motherboard | LENOVO 21RX000LUS |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3266
607.3 IPS |
|
|
Image Classification (HP)
|
100% |
3249
604.3 IPS |
|
|
Image Classification (Q)
|
100% |
9816
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4185
67.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4288
69.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12071
195.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8159
9.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
7841
9.15 IPS |
|
|
Pose Estimation (Q)
|
98% |
30894
36.2 IPS |
|
|
Object Detection (SP)
|
100% |
3152
250.0 IPS |
|
|
Object Detection (HP)
|
100% |
3375
267.7 IPS |
|
|
Object Detection (Q)
|
88% |
10544
845.2 IPS |
|
|
Face Detection (SP)
|
100% |
8625
102.5 IPS |
|
|
Face Detection (HP)
|
100% |
8718
103.6 IPS |
|
|
Face Detection (Q)
|
100% |
27760
329.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9362
72.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9288
71.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
24698
192.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20251
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20985
27.0 IPS |
|
|
Style Transfer (Q)
|
98% |
78872
101.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4482
165.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4758
175.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15011
555.9 IPS |
|
|
Text Classification (SP)
|
100% |
2812
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2823
3.77 KIPS |
|
|
Text Classification (Q)
|
92% |
3763
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4065
70.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4154
71.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4645
80.0 IPS |
