LENOVO 21S7A017CD
Geekbench AI Score
2653
Single Precision Score
7335
Half Precision Score
11199
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 07:44 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% |
1520
282.8 IPS |
|
|
Image Classification (HP)
|
100% |
5380
1.00 KIPS |
|
|
Image Classification (Q)
|
100% |
7639
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2071
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3096
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3631
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
30269
35.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
63065
73.9 IPS |
|
|
Object Detection (SP)
|
100% |
1306
103.6 IPS |
|
|
Object Detection (HP)
|
100% |
4512
357.9 IPS |
|
|
Object Detection (Q)
|
87% |
7533
604.6 IPS |
|
|
Face Detection (SP)
|
100% |
3950
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
10374
123.3 IPS |
|
|
Face Detection (Q)
|
100% |
18265
217.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4555
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12020
92.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
23328
181.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10703
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36538
47.0 IPS |
|
|
Style Transfer (Q)
|
98% |
66608
85.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1946
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11293
417.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18385
680.8 IPS |
|
|
Text Classification (SP)
|
100% |
1607
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1957
2.61 KIPS |
|
|
Text Classification (Q)
|
92% |
2026
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1926
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2630
45.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2614
45.0 IPS |
