LENOVO 21KC00BFTX
Geekbench AI Score
2194
Single Precision Score
8823
Half Precision Score
13765
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | demirkapi |
| Upload Date | November 07 2025 11:32 AM |
| Views | 2 |
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 21KC00BFTX |
| Motherboard | LENOVO 21KC00BFTX |
| Power Plan | Dengeli |
| 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% |
1287
239.3 IPS |
|
|
Image Classification (HP)
|
100% |
6254
1.16 KIPS |
|
|
Image Classification (Q)
|
100% |
8775
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3106
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2522
2.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
30547
35.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
64680
75.8 IPS |
|
|
Object Detection (SP)
|
100% |
1302
103.2 IPS |
|
|
Object Detection (HP)
|
100% |
5443
431.7 IPS |
|
|
Object Detection (Q)
|
88% |
9180
736.0 IPS |
|
|
Face Detection (SP)
|
100% |
4261
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
13669
162.4 IPS |
|
|
Face Detection (Q)
|
100% |
29518
350.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3551
27.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17023
131.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
26821
208.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9504
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48151
61.9 IPS |
|
|
Style Transfer (Q)
|
98% |
88509
114.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1304
48.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13542
500.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27616
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
1846
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1847
2.46 KIPS |
|
|
Text Classification (Q)
|
92% |
1886
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
824
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4025
69.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4135
71.2 IPS |
