LENOVO 21RX000YGE
Geekbench AI Score
7681
Single Precision Score
12112
Half Precision Score
5762
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 08:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Business (64-bit) |
| Model | LENOVO 21RX000YGE |
| Motherboard | LENOVO 21RX000YGE |
| Power Plan | Ausbalanciert |
| 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% |
2988
555.7 IPS |
|
|
Image Classification (HP)
|
100% |
4168
775.1 IPS |
|
|
Image Classification (Q)
|
100% |
2593
482.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4210
68.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5376
87.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3388
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
38155
44.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
82312
96.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
29189
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
2259
179.2 IPS |
|
|
Object Detection (HP)
|
100% |
3879
307.7 IPS |
|
|
Object Detection (Q)
|
87% |
2056
165.1 IPS |
|
|
Face Detection (SP)
|
100% |
5966
70.9 IPS |
|
|
Face Detection (HP)
|
100% |
10808
128.4 IPS |
|
|
Face Detection (Q)
|
97% |
5012
59.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17235
132.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
27742
213.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
13437
107.8 IPS |
|
|
Style Transfer (SP)
|
100% |
66592
85.6 IPS |
|
|
Style Transfer (HP)
|
100% |
123595
158.9 IPS |
|
|
Style Transfer (Q)
|
98% |
49010
63.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13004
480.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23672
874.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8609
318.8 IPS |
|
|
Text Classification (SP)
|
100% |
2097
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2807
3.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1620
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3533
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3857
66.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1665
31.2 IPS |
