MSI X570S TORPEDO R9 PBO + CO Micro-Star International Co., Ltd. MS-7D54
Geekbench AI Score
7347
Single Precision Score
7310
Half Precision Score
9142
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | lapinpt |
| Upload Date | February 10 2026 11:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| 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 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4209
782.7 IPS |
|
|
Image Classification (HP)
|
100% |
4165
774.5 IPS |
|
|
Image Classification (Q)
|
100% |
6405
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5925
96.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5992
97.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10175
165.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12249
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12320
14.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
26248
30.8 IPS |
|
|
Object Detection (SP)
|
100% |
4779
379.1 IPS |
|
|
Object Detection (HP)
|
100% |
4867
386.0 IPS |
|
|
Object Detection (Q)
|
87% |
7160
574.2 IPS |
|
|
Face Detection (SP)
|
100% |
11655
138.5 IPS |
|
|
Face Detection (HP)
|
100% |
11052
131.3 IPS |
|
|
Face Detection (Q)
|
97% |
20804
248.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11704
90.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11419
88.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
22199
175.0 IPS |
|
|
Style Transfer (SP)
|
100% |
35235
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35416
45.5 IPS |
|
|
Style Transfer (Q)
|
98% |
73123
94.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6944
256.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7059
260.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12627
467.7 IPS |
|
|
Text Classification (SP)
|
100% |
2860
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3043
4.06 KIPS |
|
|
Text Classification (Q)
|
91% |
262
351.6 IPS |
|
|
Machine Translation (SP)
|
100% |
3289
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3035
52.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2982
51.4 IPS |
