LENOVO 12LN0024GE
Geekbench AI Score
2585
Single Precision Score
3783
Half Precision Score
6033
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | alfred_heinze |
| Upload Date | April 15 2025 10:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 12LN0024GE |
| Motherboard | LENOVO 333D |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13420H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1520
282.8 IPS |
|
|
Image Classification (HP)
|
100% |
2428
451.6 IPS |
|
|
Image Classification (Q)
|
99% |
3761
701.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2012
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3733
60.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4535
73.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5303
6.19 IPS |
|
|
Pose Estimation (HP)
|
99% |
3890
4.54 IPS |
|
|
Pose Estimation (Q)
|
97% |
16502
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
1520
120.6 IPS |
|
|
Object Detection (HP)
|
99% |
2219
176.0 IPS |
|
|
Object Detection (Q)
|
90% |
3783
302.5 IPS |
|
|
Face Detection (SP)
|
100% |
3070
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6078
72.2 IPS |
|
|
Face Detection (Q)
|
100% |
10060
119.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5535
42.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9266
71.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
12532
97.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13306
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20819
26.8 IPS |
|
|
Style Transfer (Q)
|
98% |
37103
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2277
84.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3700
136.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7333
271.6 IPS |
|
|
Text Classification (SP)
|
71% |
1085
1.57 KIPS |
|
|
Text Classification (HP)
|
71% |
1282
1.85 KIPS |
|
|
Text Classification (Q)
|
92% |
1288
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
968
16.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1383
23.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1359
23.4 IPS |
