LENOVO 21KC00BFTX
Geekbench AI Score
4499
Single Precision Score
7249
Half Precision Score
3402
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | demirkapi |
| Upload Date | November 07 2025 11:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
2520
468.6 IPS |
|
|
Image Classification (HP)
|
100% |
4702
874.5 IPS |
|
|
Image Classification (Q)
|
100% |
2159
401.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3196
51.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7769
125.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2576
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14750
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20294
23.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11772
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
2673
212.1 IPS |
|
|
Object Detection (HP)
|
99% |
4524
359.9 IPS |
|
|
Object Detection (Q)
|
86% |
2259
181.6 IPS |
|
|
Face Detection (SP)
|
100% |
3861
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
7708
91.6 IPS |
|
|
Face Detection (Q)
|
97% |
3349
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7962
61.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
17051
131.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
8192
65.7 IPS |
|
|
Style Transfer (SP)
|
100% |
34576
44.4 IPS |
|
|
Style Transfer (HP)
|
100% |
56855
73.1 IPS |
|
|
Style Transfer (Q)
|
98% |
25213
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6733
248.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11065
408.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3853
142.7 IPS |
|
|
Text Classification (SP)
|
86% |
712
962.3 IPS |
|
|
Text Classification (HP)
|
99% |
633
845.1 IPS |
|
|
Text Classification (Q)
|
84% |
547
742.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2101
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2284
39.3 IPS |
|
|
Machine Translation (Q)
|
70% |
964
18.1 IPS |
