MSI X370 Sli Plus with Ryzen 9 5950X PBO Micro-Star International Co., Ltd. MS-7A33
Geekbench AI Score
8624
Single Precision Score
8578
Half Precision Score
6369
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | runnerxa |
| Upload Date | October 07 2025 06:19 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 | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 |
| 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% |
2267
421.6 IPS |
|
|
Image Classification (HP)
|
100% |
3679
684.1 IPS |
|
|
Image Classification (Q)
|
99% |
2015
375.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5778
93.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5548
89.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4808
78.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
56059
65.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31142
36.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
46005
53.9 IPS |
|
|
Object Detection (SP)
|
100% |
2933
232.7 IPS |
|
|
Object Detection (HP)
|
100% |
4596
364.5 IPS |
|
|
Object Detection (Q)
|
84% |
2561
206.5 IPS |
|
|
Face Detection (SP)
|
100% |
5913
70.3 IPS |
|
|
Face Detection (HP)
|
100% |
9046
107.5 IPS |
|
|
Face Detection (Q)
|
97% |
5241
62.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18900
145.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17528
135.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
14528
115.9 IPS |
|
|
Style Transfer (SP)
|
100% |
94185
121.1 IPS |
|
|
Style Transfer (HP)
|
100% |
53851
69.2 IPS |
|
|
Style Transfer (Q)
|
98% |
73080
94.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16695
616.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12654
467.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10524
389.7 IPS |
|
|
Text Classification (SP)
|
100% |
1669
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2037
2.72 KIPS |
|
|
Text Classification (Q)
|
97% |
1038
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3605
62.1 IPS |
|
|
Machine Translation (HP)
|
96% |
3356
58.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1583
29.7 IPS |
