MEDION Beast X40
Geekbench AI Score
28328
Single Precision Score
42113
Half Precision Score
20985
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 24 2024 07:40 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 Laptop GPU |
| 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% |
10807
2.01 KIPS |
|
|
Image Classification (HP)
|
99% |
16962
3.16 KIPS |
|
|
Image Classification (Q)
|
100% |
8337
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17497
283.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21613
350.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
15831
257.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
205936
240.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
406693
474.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
185333
217.0 IPS |
|
|
Object Detection (SP)
|
100% |
13891
1.10 KIPS |
|
|
Object Detection (HP)
|
100% |
19216
1.52 KIPS |
|
|
Object Detection (Q)
|
89% |
11193
896.1 IPS |
|
|
Face Detection (SP)
|
100% |
36334
431.7 IPS |
|
|
Face Detection (HP)
|
100% |
45910
545.5 IPS |
|
|
Face Detection (Q)
|
97% |
30749
366.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
63051
485.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
126854
977.3 IPS |
|
|
Depth Estimation (Q)
|
70% |
47600
398.7 IPS |
|
|
Style Transfer (SP)
|
100% |
329374
423.4 IPS |
|
|
Style Transfer (HP)
|
100% |
795365
1.02 KIPS |
|
|
Style Transfer (Q)
|
98% |
293060
377.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47662
1.76 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63418
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35999
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
3777
5.04 KIPS |
|
|
Text Classification (HP)
|
99% |
4767
6.36 KIPS |
|
|
Text Classification (Q)
|
97% |
2054
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4530
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4374
75.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1908
42.6 IPS |
