LENOVO 21KC00BFTX
Geekbench AI Score
2362
Single Precision Score
861
Half Precision Score
5129
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | demirkapi |
| Upload Date | November 07 2025 11:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2038
379.0 IPS |
|
|
Image Classification (HP)
|
100% |
430
80.0 IPS |
|
|
Image Classification (Q)
|
99% |
4805
896.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1193
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
563
9.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
5774
93.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2679
3.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
2185
2.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
11311
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1558
123.6 IPS |
|
|
Object Detection (HP)
|
100% |
312
24.7 IPS |
|
|
Object Detection (Q)
|
86% |
4185
336.4 IPS |
|
|
Face Detection (SP)
|
100% |
5346
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
736
8.74 IPS |
|
|
Face Detection (Q)
|
97% |
7011
83.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4127
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1054
8.12 IPS |
|
|
Depth Estimation (Q)
|
78% |
11808
94.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7407
9.52 IPS |
|
|
Style Transfer (HP)
|
100% |
4424
5.69 IPS |
|
|
Style Transfer (Q)
|
98% |
15334
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1896
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1313
48.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3795
140.5 IPS |
|
|
Text Classification (SP)
|
100% |
1217
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
648
865.2 IPS |
|
|
Text Classification (Q)
|
97% |
1226
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1414
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
465
8.01 IPS |
|
|
Machine Translation (Q)
|
65% |
1627
32.7 IPS |
