LENOVO 12U60010GE
Geekbench AI Score
3260
Single Precision Score
1414
Half Precision Score
5636
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | hsvadmin |
| Upload Date | January 30 2025 08:42 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 12U60010GE |
| Motherboard | LENOVO 334B |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13400 |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2421
450.2 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.6 IPS |
|
|
Image Classification (Q)
|
99% |
4989
930.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1448
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
939
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2874
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5694
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3822
4.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
18259
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
2381
188.9 IPS |
|
|
Object Detection (HP)
|
100% |
680
54.0 IPS |
|
|
Object Detection (Q)
|
86% |
5326
428.0 IPS |
|
|
Face Detection (SP)
|
100% |
4865
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
1465
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
7710
91.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7155
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2028
15.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
12547
100.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12893
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9272
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
16110
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2449
90.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1800
66.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3801
140.8 IPS |
|
|
Text Classification (SP)
|
100% |
1478
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
703
938.2 IPS |
|
|
Text Classification (Q)
|
97% |
1578
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1760
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
726
12.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2485
49.9 IPS |
