LENOVO 21CD000HUS
Geekbench AI Score
2116
Single Precision Score
2021
Half Precision Score
3939
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 05:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-1250P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21CD000HUS |
| Motherboard | LENOVO 21CD000HUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1250P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1325
246.4 IPS |
|
|
Image Classification (HP)
|
100% |
1295
240.9 IPS |
|
|
Image Classification (Q)
|
100% |
2848
529.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1789
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1771
28.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2722
44.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2917
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2518
2.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
6471
7.58 IPS |
|
|
Object Detection (SP)
|
100% |
1132
89.8 IPS |
|
|
Object Detection (HP)
|
100% |
1118
88.6 IPS |
|
|
Object Detection (Q)
|
88% |
2446
196.1 IPS |
|
|
Face Detection (SP)
|
100% |
3327
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
3340
39.7 IPS |
|
|
Face Detection (Q)
|
100% |
5749
68.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3244
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3179
24.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
6542
50.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7606
9.78 IPS |
|
|
Style Transfer (HP)
|
100% |
7675
9.87 IPS |
|
|
Style Transfer (Q)
|
98% |
19548
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1467
54.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1556
57.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4190
155.2 IPS |
|
|
Text Classification (SP)
|
100% |
1448
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1518
2.03 KIPS |
|
|
Text Classification (Q)
|
92% |
2540
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1323
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
915
15.8 IPS |
|
|
Machine Translation (Q)
|
100% |
938
16.2 IPS |
