LENOVO 21S7A017CD
Geekbench AI Score
2696
Single Precision Score
7320
Half Precision Score
11061
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 07:52 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% |
1535
285.5 IPS |
|
|
Image Classification (HP)
|
100% |
5395
1.00 KIPS |
|
|
Image Classification (Q)
|
100% |
7224
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1964
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2284
37.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3059
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3667
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
30246
35.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
62896
73.7 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.2 IPS |
|
|
Object Detection (HP)
|
100% |
4435
351.8 IPS |
|
|
Object Detection (Q)
|
87% |
7347
589.7 IPS |
|
|
Face Detection (SP)
|
100% |
3885
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
10777
128.1 IPS |
|
|
Face Detection (Q)
|
100% |
18480
219.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4400
33.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12005
92.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
23301
181.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10787
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36379
46.8 IPS |
|
|
Style Transfer (Q)
|
98% |
66605
85.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2027
74.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11478
423.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18546
686.8 IPS |
|
|
Text Classification (SP)
|
100% |
1671
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1909
2.55 KIPS |
|
|
Text Classification (Q)
|
92% |
1906
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1945
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2592
44.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2648
45.6 IPS |
