LENOVO 30H0006QUS
Geekbench AI Score
6063
Single Precision Score
6022
Half Precision Score
14444
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | October 21 2025 10:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30H0006QUS |
| Motherboard | LENOVO 3333 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| 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% |
4508
838.3 IPS |
|
|
Image Classification (HP)
|
100% |
4489
834.8 IPS |
|
|
Image Classification (Q)
|
100% |
9205
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4923
79.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4794
77.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8601
139.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8311
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
7931
9.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
28603
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
3863
306.4 IPS |
|
|
Object Detection (HP)
|
100% |
3872
307.2 IPS |
|
|
Object Detection (Q)
|
88% |
9259
742.2 IPS |
|
|
Face Detection (SP)
|
100% |
10423
123.8 IPS |
|
|
Face Detection (HP)
|
100% |
10515
124.9 IPS |
|
|
Face Detection (Q)
|
100% |
22609
268.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10051
77.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
10043
77.4 IPS |
|
|
Depth Estimation (Q)
|
80% |
25327
200.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23590
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23697
30.5 IPS |
|
|
Style Transfer (Q)
|
98% |
81544
105.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5073
187.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5030
185.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15558
576.2 IPS |
|
|
Text Classification (SP)
|
100% |
1586
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1607
2.15 KIPS |
|
|
Text Classification (Q)
|
92% |
4524
6.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
4741
81.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4698
80.9 IPS |
|
|
Machine Translation (Q)
|
85% |
5737
100.4 IPS |
