MEDION Beast X40
Geekbench AI Score
28360
Single Precision Score
42123
Half Precision Score
21277
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 25 2024 05:18 PM |
| Views | 9 |
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% |
10813
2.01 KIPS |
|
|
Image Classification (HP)
|
99% |
16908
3.15 KIPS |
|
|
Image Classification (Q)
|
100% |
9360
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17405
282.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22352
362.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
16336
265.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
207009
241.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
408987
477.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
183295
214.6 IPS |
|
|
Object Detection (SP)
|
100% |
14080
1.12 KIPS |
|
|
Object Detection (HP)
|
100% |
19638
1.56 KIPS |
|
|
Object Detection (Q)
|
89% |
10956
877.1 IPS |
|
|
Face Detection (SP)
|
100% |
36173
429.8 IPS |
|
|
Face Detection (HP)
|
100% |
46834
556.5 IPS |
|
|
Face Detection (Q)
|
97% |
31233
372.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
63160
486.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
119601
921.5 IPS |
|
|
Depth Estimation (Q)
|
70% |
48003
402.1 IPS |
|
|
Style Transfer (SP)
|
100% |
326778
420.1 IPS |
|
|
Style Transfer (HP)
|
100% |
763559
981.6 IPS |
|
|
Style Transfer (Q)
|
98% |
290288
374.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47465
1.75 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62931
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36395
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
3779
5.04 KIPS |
|
|
Text Classification (HP)
|
99% |
4793
6.40 KIPS |
|
|
Text Classification (Q)
|
97% |
2061
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4582
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4492
77.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1897
42.3 IPS |
