LENOVO 21KC00BFTX
Geekbench AI Score
7929
Single Precision Score
12523
Half Precision Score
19334
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | demirkapi |
| Upload Date | November 07 2025 11:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
6046
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
8827
1.64 KIPS |
|
|
Image Classification (Q)
|
100% |
10365
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4803
77.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12484
202.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18543
300.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
23112
27.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
22995
26.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
80780
94.6 IPS |
|
|
Object Detection (SP)
|
100% |
5357
424.9 IPS |
|
|
Object Detection (HP)
|
100% |
7773
616.5 IPS |
|
|
Object Detection (Q)
|
88% |
12700
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
8988
106.8 IPS |
|
|
Face Detection (HP)
|
100% |
19755
234.7 IPS |
|
|
Face Detection (Q)
|
100% |
24703
293.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18323
141.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
27896
215.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
38670
300.6 IPS |
|
|
Style Transfer (SP)
|
100% |
55441
71.3 IPS |
|
|
Style Transfer (HP)
|
100% |
61822
79.5 IPS |
|
|
Style Transfer (Q)
|
98% |
183179
236.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9071
334.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15392
568.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22719
841.4 IPS |
|
|
Text Classification (SP)
|
71% |
1577
2.28 KIPS |
|
|
Text Classification (HP)
|
71% |
2484
3.59 KIPS |
|
|
Text Classification (Q)
|
92% |
2355
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2092
36.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3699
63.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3954
68.3 IPS |
