MSI X370 Sli Plus with Ryzen 9 5950X PBO Micro-Star International Co., Ltd. MS-7A33
Geekbench AI Score
6569
Single Precision Score
6513
Half Precision Score
8829
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | runnerxa |
| Upload Date | October 07 2025 05:45 AM |
| Views | 9 |
| 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 | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| 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% |
3770
701.1 IPS |
|
|
Image Classification (HP)
|
100% |
3895
724.4 IPS |
|
|
Image Classification (Q)
|
100% |
6145
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5315
86.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5373
87.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9931
161.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10983
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
11112
13.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
24957
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
4229
335.5 IPS |
|
|
Object Detection (HP)
|
100% |
4206
333.6 IPS |
|
|
Object Detection (Q)
|
87% |
7117
570.8 IPS |
|
|
Face Detection (SP)
|
100% |
9554
113.5 IPS |
|
|
Face Detection (HP)
|
100% |
10056
119.5 IPS |
|
|
Face Detection (Q)
|
97% |
20991
250.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11061
85.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11089
85.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
21925
172.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31765
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32161
41.3 IPS |
|
|
Style Transfer (Q)
|
98% |
70912
91.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6234
230.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5309
196.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12593
466.5 IPS |
|
|
Text Classification (SP)
|
100% |
2810
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2875
3.84 KIPS |
|
|
Text Classification (Q)
|
91% |
241
324.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2734
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2568
44.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2682
46.2 IPS |
