MEDION S15449
Geekbench AI Score
1538
Single Precision Score
828
Half Precision Score
2439
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 02:30 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% |
1007
187.2 IPS |
|
|
Image Classification (HP)
|
100% |
338
62.9 IPS |
|
|
Image Classification (Q)
|
99% |
2280
425.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
924
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
546
8.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
1372
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2141
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
1850
2.16 IPS |
|
|
Pose Estimation (Q)
|
95% |
8639
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
940
74.5 IPS |
|
|
Object Detection (HP)
|
100% |
422
33.5 IPS |
|
|
Object Detection (Q)
|
88% |
1240
99.4 IPS |
|
|
Face Detection (SP)
|
100% |
1613
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
924
11.0 IPS |
|
|
Face Detection (Q)
|
97% |
3088
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2790
21.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1157
8.91 IPS |
|
|
Depth Estimation (Q)
|
77% |
4711
37.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5334
6.86 IPS |
|
|
Style Transfer (HP)
|
100% |
4486
5.77 IPS |
|
|
Style Transfer (Q)
|
98% |
11755
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1107
40.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
940
34.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2338
86.6 IPS |
|
|
Text Classification (SP)
|
100% |
1120
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
510
681.1 IPS |
|
|
Text Classification (Q)
|
97% |
414
554.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1331
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
460
7.92 IPS |
|
|
Machine Translation (Q)
|
60% |
1348
30.1 IPS |
