MEDION S23005
Geekbench AI Score
966
Single Precision Score
991
Half Precision Score
590
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| Upload Date | November 08 2025 01:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | LMDE 6 (faye) |
| Model | MEDION S23005 |
| Motherboard | MEDION T11X5A80 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
666
123.9 IPS |
|
|
Image Classification (HP)
|
100% |
665
123.7 IPS |
|
|
Image Classification (Q)
|
99% |
328
61.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
872
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
868
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
443
7.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
1201
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1173
1.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
943
1.11 IPS |
|
|
Object Detection (SP)
|
100% |
674
53.4 IPS |
|
|
Object Detection (HP)
|
100% |
675
53.6 IPS |
|
|
Object Detection (Q)
|
86% |
406
32.7 IPS |
|
|
Face Detection (SP)
|
100% |
1345
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
1377
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
879
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1216
9.37 IPS |
|
|
Depth Estimation (HP)
|
100% |
1222
9.42 IPS |
|
|
Depth Estimation (Q)
|
74% |
838
6.81 IPS |
|
|
Style Transfer (SP)
|
100% |
1645
2.11 IPS |
|
|
Style Transfer (HP)
|
100% |
1662
2.14 IPS |
|
|
Style Transfer (Q)
|
98% |
2027
2.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
763
28.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
763
28.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
536
19.9 IPS |
|
|
Text Classification (SP)
|
100% |
620
827.7 IPS |
|
|
Text Classification (HP)
|
100% |
799
1.07 KIPS |
|
|
Text Classification (Q)
|
92% |
378
508.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1191
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1180
20.3 IPS |
|
|
Machine Translation (Q)
|
58% |
307
7.20 IPS |
