LENOVO 30GUSR3300
Geekbench AI Score
7326
Single Precision Score
7006
Half Precision Score
16040
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | JoaoSchlemm |
| Upload Date | July 02 2025 05:51 PM |
| Views | 7 |
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 30GUSR3300 |
| Motherboard | LENOVO 1064 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4494
835.8 IPS |
|
|
Image Classification (HP)
|
100% |
4597
854.9 IPS |
|
|
Image Classification (Q)
|
100% |
9862
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5896
95.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5914
95.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10719
173.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8616
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8475
9.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
31785
37.2 IPS |
|
|
Object Detection (SP)
|
100% |
4321
342.7 IPS |
|
|
Object Detection (HP)
|
100% |
4296
340.8 IPS |
|
|
Object Detection (Q)
|
88% |
10295
825.3 IPS |
|
|
Face Detection (SP)
|
100% |
12582
149.5 IPS |
|
|
Face Detection (HP)
|
100% |
7774
92.4 IPS |
|
|
Face Detection (Q)
|
100% |
24969
296.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11044
85.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11063
85.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
27722
215.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25409
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26165
33.6 IPS |
|
|
Style Transfer (Q)
|
98% |
89537
115.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5558
205.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5547
204.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16706
618.7 IPS |
|
|
Text Classification (SP)
|
100% |
4033
5.38 KIPS |
|
|
Text Classification (HP)
|
100% |
4046
5.40 KIPS |
|
|
Text Classification (Q)
|
92% |
5553
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5707
98.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5705
98.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5671
97.7 IPS |
