MEDION BEAST X30
Geekbench AI Score
1402
Single Precision Score
626
Half Precision Score
1887
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 14 2024 03:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900HK |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MEDION BEAST X30 |
| Motherboard | MEDION GM7AxxP |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900HK |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
732
136.0 IPS |
|
|
Image Classification (HP)
|
100% |
231
43.0 IPS |
|
|
Image Classification (Q)
|
99% |
1559
290.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
802
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
429
6.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
1157
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2366
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1604
1.87 IPS |
|
|
Pose Estimation (Q)
|
95% |
7994
9.37 IPS |
|
|
Object Detection (SP)
|
100% |
892
70.8 IPS |
|
|
Object Detection (HP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (Q)
|
88% |
840
67.3 IPS |
|
|
Face Detection (SP)
|
100% |
1920
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
783
9.31 IPS |
|
|
Face Detection (Q)
|
97% |
2163
25.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2756
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
902
6.95 IPS |
|
|
Depth Estimation (Q)
|
77% |
3838
30.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5981
7.69 IPS |
|
|
Style Transfer (HP)
|
100% |
4069
5.23 IPS |
|
|
Style Transfer (Q)
|
98% |
11426
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1097
40.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
810
29.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1873
69.4 IPS |
|
|
Text Classification (SP)
|
100% |
719
959.1 IPS |
|
|
Text Classification (HP)
|
100% |
291
387.9 IPS |
|
|
Text Classification (Q)
|
97% |
268
358.3 IPS |
|
|
Machine Translation (SP)
|
100% |
951
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
307
5.29 IPS |
|
|
Machine Translation (Q)
|
60% |
997
22.2 IPS |
