LENOVO 12JDS05E00
Geekbench AI Score
1958
Single Precision Score
1136
Half Precision Score
2931
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 05:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 12JDS05E00 |
| Motherboard | LENOVO 332A |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1422
264.4 IPS |
|
|
Image Classification (HP)
|
100% |
448
83.4 IPS |
|
|
Image Classification (Q)
|
99% |
2911
543.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1075
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
750
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1811
29.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3293
3.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2923
3.41 IPS |
|
|
Pose Estimation (Q)
|
95% |
13377
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1174
93.1 IPS |
|
|
Object Detection (HP)
|
100% |
536
42.5 IPS |
|
|
Object Detection (Q)
|
88% |
1579
126.6 IPS |
|
|
Face Detection (SP)
|
100% |
1463
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
1050
12.5 IPS |
|
|
Face Detection (Q)
|
97% |
2613
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4121
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1540
11.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
4957
39.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7679
9.87 IPS |
|
|
Style Transfer (HP)
|
100% |
6278
8.07 IPS |
|
|
Style Transfer (Q)
|
98% |
10086
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1501
55.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1623
59.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3167
117.3 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
690
921.2 IPS |
|
|
Text Classification (Q)
|
97% |
524
702.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1556
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1943
43.3 IPS |
