MEDION Beast X40
Geekbench AI Score
4517
Single Precision Score
808
Half Precision Score
5346
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 25 2024 05:16 PM |
| Views | 4 |
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% |
2568
477.5 IPS |
|
|
Image Classification (HP)
|
100% |
150
28.0 IPS |
|
|
Image Classification (Q)
|
99% |
4162
776.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
274
4.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
3047
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10890
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
4466
5.21 IPS |
|
|
Pose Estimation (Q)
|
95% |
34587
40.5 IPS |
|
|
Object Detection (SP)
|
100% |
2884
228.7 IPS |
|
|
Object Detection (HP)
|
100% |
205
16.3 IPS |
|
|
Object Detection (Q)
|
88% |
2402
192.5 IPS |
|
|
Face Detection (SP)
|
100% |
5661
67.3 IPS |
|
|
Face Detection (HP)
|
100% |
318
3.78 IPS |
|
|
Face Detection (Q)
|
97% |
5616
67.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9761
75.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
994
7.66 IPS |
|
|
Depth Estimation (Q)
|
76% |
12201
98.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24591
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11019
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
30137
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3884
143.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2075
76.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5457
202.1 IPS |
|
|
Text Classification (SP)
|
100% |
1703
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
616
822.1 IPS |
|
|
Text Classification (Q)
|
97% |
599
802.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2111
36.4 IPS |
|
|
Machine Translation (HP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2684
59.9 IPS |
