LENOVO 21RQ001AUS
Geekbench AI Score
4043
Single Precision Score
5808
Half Precision Score
2706
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | March 06 2026 12:44 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21RQ001AUS |
| Motherboard | LENOVO 21RQ001AUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2357
438.3 IPS |
|
|
Image Classification (HP)
|
100% |
3639
676.7 IPS |
|
|
Image Classification (Q)
|
99% |
1732
323.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2757
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4586
74.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1831
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7708
8.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
12086
14.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
6655
7.80 IPS |
|
|
Object Detection (SP)
|
100% |
2307
183.0 IPS |
|
|
Object Detection (HP)
|
100% |
3985
316.1 IPS |
|
|
Object Detection (Q)
|
86% |
1813
145.7 IPS |
|
|
Face Detection (SP)
|
100% |
4374
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
7302
86.8 IPS |
|
|
Face Detection (Q)
|
97% |
2906
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8725
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13361
103.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
6184
49.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25341
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38932
50.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18759
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4340
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6658
245.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2974
110.1 IPS |
|
|
Text Classification (SP)
|
100% |
1149
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
902
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
663
887.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2096
36.1 IPS |
|
|
Machine Translation (HP)
|
96% |
2384
41.2 IPS |
|
|
Machine Translation (Q)
|
70% |
828
15.5 IPS |
