Lenovo ThinkPad P16s Gen 4 AMD LENOVO 21RX000LUS
Geekbench AI Score
5102
Single Precision Score
5154
Half Precision Score
13858
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ridelisle |
| Upload Date | January 08 2026 09:00 PM |
| Views | 6 |
| 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 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% |
3140
584.0 IPS |
|
|
Image Classification (HP)
|
100% |
2792
519.2 IPS |
|
|
Image Classification (Q)
|
100% |
8743
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3337
54.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3897
63.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10684
173.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6812
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
7292
8.51 IPS |
|
|
Pose Estimation (Q)
|
98% |
28584
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
2978
236.2 IPS |
|
|
Object Detection (HP)
|
100% |
3016
239.2 IPS |
|
|
Object Detection (Q)
|
88% |
8801
705.5 IPS |
|
|
Face Detection (SP)
|
100% |
7504
89.2 IPS |
|
|
Face Detection (HP)
|
100% |
7090
84.2 IPS |
|
|
Face Detection (Q)
|
100% |
23653
281.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8410
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8437
65.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
23087
179.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17411
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
18533
23.8 IPS |
|
|
Style Transfer (Q)
|
98% |
75745
97.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4264
157.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4207
155.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14129
523.2 IPS |
|
|
Text Classification (SP)
|
100% |
2983
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (Q)
|
92% |
3942
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4025
69.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4045
69.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4826
83.1 IPS |
