LENOVO 21S7A017CD
Geekbench AI Score
2616
Single Precision Score
7225
Half Precision Score
11040
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 07:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 21S7A017CD |
| Motherboard | LENOVO 21S7A017CD |
| 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% |
1374
255.6 IPS |
|
|
Image Classification (HP)
|
100% |
5225
971.6 IPS |
|
|
Image Classification (Q)
|
100% |
7450
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2339
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3047
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3610
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
30010
35.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
62733
73.5 IPS |
|
|
Object Detection (SP)
|
100% |
1544
122.5 IPS |
|
|
Object Detection (HP)
|
100% |
4289
340.2 IPS |
|
|
Object Detection (Q)
|
87% |
7225
579.8 IPS |
|
|
Face Detection (SP)
|
100% |
3658
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
10618
126.2 IPS |
|
|
Face Detection (Q)
|
100% |
18558
220.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4252
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12139
93.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
23143
180.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10676
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37156
47.8 IPS |
|
|
Style Transfer (Q)
|
98% |
67368
86.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1939
71.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11427
421.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18460
683.6 IPS |
|
|
Text Classification (SP)
|
100% |
1636
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
1778
2.37 KIPS |
|
|
Text Classification (Q)
|
92% |
1874
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1941
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2534
43.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2614
45.0 IPS |
