Micro-Star International Co., Ltd. MS-7D54
Geekbench AI Score
5199
Single Precision Score
5201
Half Precision Score
6004
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | February 25 2025 10:51 AM |
| Views | 3 |
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% |
2829
526.2 IPS |
|
|
Image Classification (HP)
|
100% |
2817
523.9 IPS |
|
|
Image Classification (Q)
|
100% |
3598
669.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3734
60.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3746
60.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4817
78.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8912
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8868
10.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
10179
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
2877
228.2 IPS |
|
|
Object Detection (HP)
|
100% |
2918
231.4 IPS |
|
|
Object Detection (Q)
|
87% |
4022
322.6 IPS |
|
|
Face Detection (SP)
|
100% |
7215
85.7 IPS |
|
|
Face Detection (HP)
|
100% |
7203
85.6 IPS |
|
|
Face Detection (Q)
|
97% |
12704
151.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8589
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8601
66.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
10989
86.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24805
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
24830
31.9 IPS |
|
|
Style Transfer (Q)
|
98% |
29166
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4791
176.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4765
176.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5694
210.9 IPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (Q)
|
91% |
1163
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3188
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3171
54.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3184
54.8 IPS |
