LENOVO 90UT001UUS
Geekbench AI Score
5027
Single Precision Score
4893
Half Precision Score
10492
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 03:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 90UT001UUS |
| Motherboard | LENOVO 3769 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4271
794.3 IPS |
|
|
Image Classification (HP)
|
100% |
4106
763.7 IPS |
|
|
Image Classification (Q)
|
100% |
6694
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4406
71.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4413
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8301
134.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6741
7.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
5334
6.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
18341
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
2954
234.3 IPS |
|
|
Object Detection (HP)
|
100% |
2294
181.9 IPS |
|
|
Object Detection (Q)
|
88% |
7746
620.9 IPS |
|
|
Face Detection (SP)
|
100% |
7176
85.3 IPS |
|
|
Face Detection (HP)
|
100% |
7370
87.6 IPS |
|
|
Face Detection (Q)
|
100% |
14185
168.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6757
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7315
56.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
16596
129.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15639
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17351
22.3 IPS |
|
|
Style Transfer (Q)
|
98% |
64709
83.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3433
126.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3987
147.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10158
376.2 IPS |
|
|
Text Classification (SP)
|
100% |
2632
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2911
3.89 KIPS |
|
|
Text Classification (Q)
|
92% |
3513
4.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4019
69.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3268
56.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3770
64.9 IPS |
