MEDION Beast X40
Geekbench AI Score
4322
Single Precision Score
804
Half Precision Score
5250
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 24 2024 07:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MEDION Beast X40 |
| Motherboard | MEDION GM7PxxN |
| Power Plan | Mximo rendimiento |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2146
399.1 IPS |
|
|
Image Classification (HP)
|
100% |
138
25.6 IPS |
|
|
Image Classification (Q)
|
99% |
4054
756.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2264
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
277
4.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
3180
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10898
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
4496
5.25 IPS |
|
|
Pose Estimation (Q)
|
95% |
32316
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
2866
227.3 IPS |
|
|
Object Detection (HP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (Q)
|
88% |
2419
193.9 IPS |
|
|
Face Detection (SP)
|
100% |
5104
60.6 IPS |
|
|
Face Detection (HP)
|
100% |
328
3.89 IPS |
|
|
Face Detection (Q)
|
97% |
5619
67.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9892
76.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
929
7.16 IPS |
|
|
Depth Estimation (Q)
|
76% |
12274
98.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24013
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10939
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
28957
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3737
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2054
75.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5304
196.4 IPS |
|
|
Text Classification (SP)
|
100% |
1647
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
668
891.0 IPS |
|
|
Text Classification (Q)
|
97% |
570
763.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2013
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2618
58.4 IPS |
