Micro-Star International Co., Ltd. MS-7D54
Geekbench AI Score
5435
Single Precision Score
5443
Half Precision Score
6287
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | September 03 2025 01:56 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 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% |
2958
550.0 IPS |
|
|
Image Classification (HP)
|
100% |
2951
548.8 IPS |
|
|
Image Classification (Q)
|
100% |
3853
716.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4080
66.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4114
66.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5518
89.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8973
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
8842
10.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
10278
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
3135
248.7 IPS |
|
|
Object Detection (HP)
|
100% |
3168
251.3 IPS |
|
|
Object Detection (Q)
|
87% |
4283
343.5 IPS |
|
|
Face Detection (SP)
|
100% |
7491
89.0 IPS |
|
|
Face Detection (HP)
|
100% |
7448
88.5 IPS |
|
|
Face Detection (Q)
|
97% |
13917
165.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8433
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8412
64.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
11124
87.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24486
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24574
31.6 IPS |
|
|
Style Transfer (Q)
|
98% |
29417
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4631
171.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4588
169.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5647
209.2 IPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
2357
3.15 KIPS |
|
|
Text Classification (Q)
|
91% |
1007
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3975
68.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4032
69.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3985
68.7 IPS |
