LENOVO 30GUSR3300
Geekbench AI Score
5240
Single Precision Score
1700
Half Precision Score
8999
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | JoaoSchlemm |
| Upload Date | July 02 2025 05:46 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
4468
830.9 IPS |
|
|
Image Classification (HP)
|
100% |
629
116.9 IPS |
|
|
Image Classification (Q)
|
99% |
7033
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2062
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1072
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
11434
185.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9528
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
4799
5.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
32306
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
4039
320.4 IPS |
|
|
Object Detection (HP)
|
100% |
791
62.7 IPS |
|
|
Object Detection (Q)
|
86% |
7387
593.7 IPS |
|
|
Face Detection (SP)
|
100% |
11623
138.1 IPS |
|
|
Face Detection (HP)
|
100% |
1725
20.5 IPS |
|
|
Face Detection (Q)
|
97% |
11183
133.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11618
89.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2331
18.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
17240
137.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21422
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11671
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
26294
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3773
139.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2241
82.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6294
233.0 IPS |
|
|
Text Classification (SP)
|
100% |
1785
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
762
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1557
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2261
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3654
73.4 IPS |
