LENOVO 21KCCTO1WW
Geekbench AI Score
1904
Single Precision Score
8276
Half Precision Score
12943
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 25 2025 10:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 21KCCTO1WW |
| Motherboard | LENOVO 21KCCTO1WW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
996
185.2 IPS |
|
|
Image Classification (HP)
|
100% |
4995
928.9 IPS |
|
|
Image Classification (Q)
|
100% |
7688
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1565
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2423
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3097
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2599
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
30349
35.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
64375
75.4 IPS |
|
|
Object Detection (SP)
|
100% |
995
78.9 IPS |
|
|
Object Detection (HP)
|
100% |
4749
376.7 IPS |
|
|
Object Detection (Q)
|
88% |
8163
654.4 IPS |
|
|
Face Detection (SP)
|
100% |
3237
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
14152
168.2 IPS |
|
|
Face Detection (Q)
|
100% |
25390
301.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2852
22.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16188
124.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
29282
227.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7614
9.79 IPS |
|
|
Style Transfer (HP)
|
100% |
47571
61.2 IPS |
|
|
Style Transfer (Q)
|
98% |
84591
109.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1317
48.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13145
485.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27211
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
1300
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1886
2.52 KIPS |
|
|
Text Classification (Q)
|
92% |
1860
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3199
55.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3314
57.1 IPS |
