LENOVO 21R9A000CD
Geekbench AI Score
2573
Single Precision Score
9282
Half Precision Score
14504
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 28 2025 07:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT LTSC (64-bit) |
| Model | LENOVO 21R9A000CD |
| Motherboard | LENOVO 21R9A000CD |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1369
254.6 IPS |
|
|
Image Classification (HP)
|
100% |
6334
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
9262
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2023
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2596
42.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3178
51.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3421
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
31831
37.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
69445
81.3 IPS |
|
|
Object Detection (SP)
|
100% |
1428
113.3 IPS |
|
|
Object Detection (HP)
|
100% |
5286
419.3 IPS |
|
|
Object Detection (Q)
|
88% |
9446
757.3 IPS |
|
|
Face Detection (SP)
|
100% |
4233
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
16266
193.3 IPS |
|
|
Face Detection (Q)
|
100% |
29648
352.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3923
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17232
132.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
33060
257.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10257
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
54233
69.7 IPS |
|
|
Style Transfer (Q)
|
98% |
93926
121.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1978
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14512
535.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28932
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
1796
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1889
2.52 KIPS |
|
|
Text Classification (Q)
|
92% |
1953
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1557
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4118
70.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4103
70.7 IPS |
