MEDION Crawler E30
Geekbench AI Score
1504
Single Precision Score
597
Half Precision Score
2454
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| Upload Date | April 06 2025 07:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12500H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MEDION Crawler E30 |
| Motherboard | MEDION NPx0PNJ |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1061
197.3 IPS |
|
|
Image Classification (HP)
|
100% |
231
42.9 IPS |
|
|
Image Classification (Q)
|
99% |
1852
345.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
902
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
480
7.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
1907
31.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1811
2.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1285
1.50 IPS |
|
|
Pose Estimation (Q)
|
95% |
7513
8.81 IPS |
|
|
Object Detection (SP)
|
100% |
1002
79.5 IPS |
|
|
Object Detection (HP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (Q)
|
88% |
1064
85.3 IPS |
|
|
Face Detection (SP)
|
100% |
1907
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
597
7.09 IPS |
|
|
Face Detection (Q)
|
97% |
2411
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2750
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
815
6.28 IPS |
|
|
Depth Estimation (Q)
|
77% |
4334
34.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5677
7.30 IPS |
|
|
Style Transfer (HP)
|
100% |
3343
4.30 IPS |
|
|
Style Transfer (Q)
|
98% |
9383
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1418
52.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
822
30.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2340
86.7 IPS |
|
|
Text Classification (SP)
|
100% |
1023
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
418
557.8 IPS |
|
|
Text Classification (Q)
|
97% |
1186
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
268
4.61 IPS |
|
|
Machine Translation (Q)
|
60% |
1034
23.1 IPS |
