Micro-Star International Co., Ltd. MS-7D54
Geekbench AI Score
5471
Single Precision Score
5463
Half Precision Score
6259
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | July 09 2025 01:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Micro-Star International Co., Ltd. MS-7D54 |
| Motherboard | Micro-Star International Co., Ltd. MAG X570S TOMAHAWK MAX WIFI (MS-7D54) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.67 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2990
556.1 IPS |
|
|
Image Classification (HP)
|
100% |
2989
555.9 IPS |
|
|
Image Classification (Q)
|
100% |
3825
711.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4082
66.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4081
66.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5486
89.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8930
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8949
10.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
10156
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
3125
247.9 IPS |
|
|
Object Detection (HP)
|
100% |
3136
248.7 IPS |
|
|
Object Detection (Q)
|
87% |
4261
341.7 IPS |
|
|
Face Detection (SP)
|
100% |
7513
89.3 IPS |
|
|
Face Detection (HP)
|
100% |
7452
88.6 IPS |
|
|
Face Detection (Q)
|
97% |
13822
164.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8462
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8362
64.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
11029
87.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24591
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24697
31.7 IPS |
|
|
Style Transfer (Q)
|
98% |
29183
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4818
177.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4843
178.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5718
211.8 IPS |
|
|
Text Classification (SP)
|
100% |
2367
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (Q)
|
91% |
1012
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3959
68.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3931
67.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3953
68.1 IPS |
