LENOVO 12USCTO1WW
Geekbench AI Score
4391
Single Precision Score
4381
Half Precision Score
9838
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 06:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-14400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 12USCTO1WW |
| Motherboard | LENOVO 3368 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400 |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2665
495.6 IPS |
|
|
Image Classification (HP)
|
100% |
2610
485.4 IPS |
|
|
Image Classification (Q)
|
100% |
5861
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3251
52.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3329
54.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6073
98.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5261
6.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
5251
6.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
19371
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
2576
204.3 IPS |
|
|
Object Detection (HP)
|
100% |
2517
199.7 IPS |
|
|
Object Detection (Q)
|
88% |
6208
497.7 IPS |
|
|
Face Detection (SP)
|
100% |
7123
84.6 IPS |
|
|
Face Detection (HP)
|
100% |
7066
84.0 IPS |
|
|
Face Detection (Q)
|
100% |
15134
179.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6909
53.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6934
53.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
16801
130.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15588
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15808
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
52713
68.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3250
120.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3264
120.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10386
384.6 IPS |
|
|
Text Classification (SP)
|
100% |
2532
3.38 KIPS |
|
|
Text Classification (HP)
|
100% |
2497
3.33 KIPS |
|
|
Text Classification (Q)
|
92% |
3997
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3597
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3600
62.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3567
61.4 IPS |
