LENOVO 21RV000FUS-P14S (RYZEN9)-AI LENOVO 21RV000FUS
Geekbench AI Score
3684
Single Precision Score
1765
Half Precision Score
7489
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | chrishoesel |
| Upload Date | December 02 2025 07:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 21RV000FUS |
| Motherboard | LENOVO 21RV000FUS |
| 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% |
3074
571.6 IPS |
|
|
Image Classification (HP)
|
100% |
651
121.1 IPS |
|
|
Image Classification (Q)
|
99% |
7370
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1088
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1072
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10319
167.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6776
7.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
5457
6.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
26642
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
2971
235.6 IPS |
|
|
Object Detection (HP)
|
100% |
788
62.5 IPS |
|
|
Object Detection (Q)
|
86% |
7840
630.1 IPS |
|
|
Face Detection (SP)
|
100% |
6689
79.5 IPS |
|
|
Face Detection (HP)
|
100% |
1746
20.7 IPS |
|
|
Face Detection (Q)
|
97% |
10328
123.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8237
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2710
20.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
16535
131.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15212
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14258
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
33018
42.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2269
83.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2324
85.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1492
55.3 IPS |
|
|
Text Classification (SP)
|
100% |
1662
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
690
921.3 IPS |
|
|
Text Classification (Q)
|
97% |
1488
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2168
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2791
56.1 IPS |
