MSI X370 Sli Plus with Ryzen 9 5950X PBO Micro-Star International Co., Ltd. MS-7A33
Geekbench AI Score
3864
Single Precision Score
1471
Half Precision Score
6715
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | runnerxa |
| Upload Date | October 07 2025 05:41 AM |
| Views | 7 |
| Notes | Latest official BIOS update, X370 chipset with 5950X, PBO setting enabled and adjusted to get to stable setting, XMP1 DDR4-3600 memory setting with 128GB of RAM dual channel. Stable in Windows 11 24H2. |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A33 |
| Motherboard | Micro-Star International Co., Ltd. X370 SLI PLUS (MS-7A33) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2881
535.7 IPS |
|
|
Image Classification (HP)
|
100% |
467
86.9 IPS |
|
|
Image Classification (Q)
|
96% |
6116
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1876
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
8682
141.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7870
9.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
5905
6.89 IPS |
|
|
Pose Estimation (Q)
|
86% |
19812
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
2929
232.3 IPS |
|
|
Object Detection (HP)
|
100% |
640
50.7 IPS |
|
|
Object Detection (Q)
|
58% |
4927
538.3 IPS |
|
|
Face Detection (SP)
|
100% |
6655
79.1 IPS |
|
|
Face Detection (HP)
|
100% |
1298
15.4 IPS |
|
|
Face Detection (Q)
|
96% |
9628
114.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9154
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2207
17.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
14517
115.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18582
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14460
18.6 IPS |
|
|
Style Transfer (Q)
|
87% |
21496
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2066
76.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1884
69.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3719
137.8 IPS |
|
|
Text Classification (SP)
|
100% |
1354
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
604
806.4 IPS |
|
|
Text Classification (Q)
|
97% |
1191
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1885
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
842
14.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2705
52.3 IPS |
