MSI X570S TORPEDO R9 PBO + CO Micro-Star International Co., Ltd. MS-7D54
Geekbench AI Score
4062
Single Precision Score
1665
Half Precision Score
5673
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | lapinpt |
| Upload Date | February 10 2026 11:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| 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% |
2988
555.8 IPS |
|
|
Image Classification (HP)
|
100% |
570
106.0 IPS |
|
|
Image Classification (Q)
|
96% |
5755
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1904
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
792
12.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
5661
92.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8119
9.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
6381
7.45 IPS |
|
|
Pose Estimation (Q)
|
86% |
19335
22.9 IPS |
|
|
Object Detection (SP)
|
100% |
2960
234.8 IPS |
|
|
Object Detection (HP)
|
100% |
717
56.9 IPS |
|
|
Object Detection (Q)
|
58% |
4196
458.4 IPS |
|
|
Face Detection (SP)
|
100% |
6952
82.6 IPS |
|
|
Face Detection (HP)
|
100% |
1589
18.9 IPS |
|
|
Face Detection (Q)
|
96% |
9478
113.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8814
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2420
18.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
14847
118.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18779
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16139
20.7 IPS |
|
|
Style Transfer (Q)
|
87% |
22772
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2313
85.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1969
72.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3810
141.2 IPS |
|
|
Text Classification (SP)
|
100% |
1487
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
729
973.0 IPS |
|
|
Text Classification (Q)
|
97% |
423
566.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2265
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
893
15.4 IPS |
|
|
Machine Translation (Q)
|
68% |
2531
48.9 IPS |
