LENOVO 21RQ001AUS
Geekbench AI Score
5013
Single Precision Score
8158
Half Precision Score
12755
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | March 06 2026 12:25 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3453
642.1 IPS |
|
|
Image Classification (HP)
|
100% |
5118
951.7 IPS |
|
|
Image Classification (Q)
|
100% |
7386
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2896
47.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7314
118.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10827
175.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11318
13.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
10547
12.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
35633
41.7 IPS |
|
|
Object Detection (SP)
|
100% |
3024
239.9 IPS |
|
|
Object Detection (HP)
|
100% |
5110
405.3 IPS |
|
|
Object Detection (Q)
|
88% |
8352
669.3 IPS |
|
|
Face Detection (SP)
|
100% |
6078
72.2 IPS |
|
|
Face Detection (HP)
|
100% |
12304
146.2 IPS |
|
|
Face Detection (Q)
|
100% |
21152
251.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10939
84.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
20099
155.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
24422
189.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28456
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36734
47.2 IPS |
|
|
Style Transfer (Q)
|
98% |
85980
110.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4902
181.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8835
326.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14310
530.0 IPS |
|
|
Text Classification (SP)
|
71% |
1398
2.02 KIPS |
|
|
Text Classification (HP)
|
71% |
2451
3.55 KIPS |
|
|
Text Classification (Q)
|
92% |
2327
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2262
39.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3290
56.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3240
56.0 IPS |
