LENOVO 21KSCTO1WW
Geekbench AI Score
2563
Single Precision Score
7512
Half Precision Score
12035
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 17 2025 08:24 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KSCTO1WW |
| Motherboard | LENOVO 21KSCTO1WW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1264
235.0 IPS |
|
|
Image Classification (HP)
|
100% |
5480
1.02 KIPS |
|
|
Image Classification (Q)
|
100% |
8658
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2312
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3044
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4110
4.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
28011
32.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
62364
73.1 IPS |
|
|
Object Detection (SP)
|
100% |
1298
103.0 IPS |
|
|
Object Detection (HP)
|
100% |
4524
358.8 IPS |
|
|
Object Detection (Q)
|
88% |
8158
654.0 IPS |
|
|
Face Detection (SP)
|
100% |
3999
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
12031
143.0 IPS |
|
|
Face Detection (Q)
|
100% |
25755
306.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4067
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11040
85.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
20147
156.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11395
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34382
44.2 IPS |
|
|
Style Transfer (Q)
|
98% |
59687
77.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2250
83.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14139
522.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26488
980.9 IPS |
|
|
Text Classification (SP)
|
100% |
1518
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1692
2.26 KIPS |
|
|
Text Classification (Q)
|
92% |
1827
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1242
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3206
55.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3173
54.7 IPS |
