LENOVO 12U7S06C00
Geekbench AI Score
3947
Single Precision Score
1531
Half Precision Score
7366
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 08 2025 01:34 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 12U7S06C00 |
| Motherboard | LENOVO 334B |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700 |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3068
570.5 IPS |
|
|
Image Classification (HP)
|
100% |
531
98.7 IPS |
|
|
Image Classification (Q)
|
99% |
6164
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1677
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
862
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8557
139.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6603
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
4673
5.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
22549
26.4 IPS |
|
|
Object Detection (SP)
|
100% |
2852
226.2 IPS |
|
|
Object Detection (HP)
|
100% |
705
55.9 IPS |
|
|
Object Detection (Q)
|
86% |
6895
554.1 IPS |
|
|
Face Detection (SP)
|
100% |
8807
104.6 IPS |
|
|
Face Detection (HP)
|
100% |
1536
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
8644
103.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8560
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2147
16.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
14916
119.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15926
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10778
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24688
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2787
102.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2157
79.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4988
184.7 IPS |
|
|
Text Classification (SP)
|
100% |
1476
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
726
969.5 IPS |
|
|
Text Classification (Q)
|
97% |
1254
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1922
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2881
57.9 IPS |
