MEDION S15449
Geekbench AI Score
1505
Single Precision Score
820
Half Precision Score
2419
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 02:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MEDION S15449 |
| Motherboard | MEDION M15T |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1039
193.2 IPS |
|
|
Image Classification (HP)
|
100% |
342
63.6 IPS |
|
|
Image Classification (Q)
|
99% |
2382
444.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
892
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
547
8.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
1421
23.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2066
2.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
1794
2.09 IPS |
|
|
Pose Estimation (Q)
|
95% |
8446
9.90 IPS |
|
|
Object Detection (SP)
|
100% |
876
69.5 IPS |
|
|
Object Detection (HP)
|
100% |
409
32.4 IPS |
|
|
Object Detection (Q)
|
88% |
1259
100.9 IPS |
|
|
Face Detection (SP)
|
100% |
1655
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
915
10.9 IPS |
|
|
Face Detection (Q)
|
97% |
2904
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2568
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1136
8.75 IPS |
|
|
Depth Estimation (Q)
|
77% |
4495
36.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5054
6.50 IPS |
|
|
Style Transfer (HP)
|
100% |
4294
5.52 IPS |
|
|
Style Transfer (Q)
|
98% |
11098
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1127
41.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
907
33.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2278
84.3 IPS |
|
|
Text Classification (SP)
|
100% |
1117
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
541
722.6 IPS |
|
|
Text Classification (Q)
|
97% |
410
548.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1323
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
458
7.88 IPS |
|
|
Machine Translation (Q)
|
60% |
1409
31.4 IPS |
