MSI MAG X570S TORPEDO MAX Micro-Star International Co., Ltd. MS-7D54
Geekbench AI Score
3372
Single Precision Score
1466
Half Precision Score
4757
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | lapinpt |
| Upload Date | December 30 2025 12:38 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D54 |
| Motherboard | Micro-Star International Co., Ltd. MAG X570S TORPEDO MAX (MS-7D54) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2424
450.7 IPS |
|
|
Image Classification (HP)
|
100% |
553
102.9 IPS |
|
|
Image Classification (Q)
|
96% |
4834
902.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1797
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
746
12.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
4396
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5789
6.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
4571
5.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
14022
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2336
185.3 IPS |
|
|
Object Detection (HP)
|
100% |
642
50.9 IPS |
|
|
Object Detection (Q)
|
58% |
2976
325.2 IPS |
|
|
Face Detection (SP)
|
100% |
5828
69.3 IPS |
|
|
Face Detection (HP)
|
100% |
1354
16.1 IPS |
|
|
Face Detection (Q)
|
96% |
8039
95.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6636
51.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2123
16.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
12278
98.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13682
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11652
15.0 IPS |
|
|
Style Transfer (Q)
|
87% |
19897
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1969
72.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1735
64.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3332
123.5 IPS |
|
|
Text Classification (SP)
|
100% |
1392
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
734
979.8 IPS |
|
|
Text Classification (Q)
|
97% |
418
559.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2228
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
893
15.4 IPS |
|
|
Machine Translation (Q)
|
68% |
2451
47.4 IPS |
