LENOVO 21KC00BFTX
Geekbench AI Score
2204
Single Precision Score
2214
Half Precision Score
5534
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | demirkapi |
| Upload Date | November 07 2025 11:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| 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% |
1521
283.0 IPS |
|
|
Image Classification (HP)
|
100% |
1519
282.5 IPS |
|
|
Image Classification (Q)
|
100% |
4481
833.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2014
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4021
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2203
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2508
2.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
10527
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1242
98.6 IPS |
|
|
Object Detection (HP)
|
100% |
1250
99.1 IPS |
|
|
Object Detection (Q)
|
88% |
3917
314.0 IPS |
|
|
Face Detection (SP)
|
100% |
4223
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
4162
49.5 IPS |
|
|
Face Detection (Q)
|
100% |
7850
93.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2794
21.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2901
22.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
8584
66.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7569
9.73 IPS |
|
|
Style Transfer (HP)
|
100% |
8151
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
27576
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1451
53.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1637
60.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6029
223.3 IPS |
|
|
Text Classification (SP)
|
100% |
1757
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1837
2.45 KIPS |
|
|
Text Classification (Q)
|
92% |
2993
4.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1423
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
951
16.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1082
18.6 IPS |
