LENOVO 12DLS00J00
Geekbench AI Score
3782
Single Precision Score
1496
Half Precision Score
5476
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 02 2025 02:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | LENOVO 12DLS00J00 |
| Motherboard | LENOVO 3321 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3045
566.3 IPS |
|
|
Image Classification (HP)
|
100% |
570
106.0 IPS |
|
|
Image Classification (Q)
|
99% |
5877
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1893
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1062
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2884
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6446
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3894
4.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
21421
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
2724
216.1 IPS |
|
|
Object Detection (HP)
|
100% |
685
54.3 IPS |
|
|
Object Detection (Q)
|
86% |
5505
442.4 IPS |
|
|
Face Detection (SP)
|
100% |
5567
66.2 IPS |
|
|
Face Detection (HP)
|
100% |
1623
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
8833
105.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8506
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1948
15.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
13998
111.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14664
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9731
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
16712
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2735
101.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1979
73.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4156
153.9 IPS |
|
|
Text Classification (SP)
|
100% |
1516
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
723
965.0 IPS |
|
|
Text Classification (Q)
|
97% |
498
666.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2056
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2837
57.0 IPS |
