Micro-Star International Co., Ltd. MS-7D54
Geekbench AI Score
1516
Single Precision Score
1503
Half Precision Score
1213
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | February 25 2025 10:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| 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% |
1028
191.1 IPS |
|
|
Image Classification (HP)
|
100% |
1042
193.7 IPS |
|
|
Image Classification (Q)
|
99% |
737
137.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
914
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2344
2.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2337
2.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
3017
3.54 IPS |
|
|
Object Detection (SP)
|
100% |
1094
86.8 IPS |
|
|
Object Detection (HP)
|
100% |
1094
86.8 IPS |
|
|
Object Detection (Q)
|
85% |
833
67.1 IPS |
|
|
Face Detection (SP)
|
100% |
1854
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
1855
22.0 IPS |
|
|
Face Detection (Q)
|
97% |
1575
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1710
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1711
13.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1578
14.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2630
3.38 IPS |
|
|
Style Transfer (HP)
|
100% |
2638
3.39 IPS |
|
|
Style Transfer (Q)
|
98% |
4933
6.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1045
38.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1043
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1279
47.4 IPS |
|
|
Text Classification (SP)
|
100% |
977
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
868
1.16 KIPS |
|
|
Text Classification (Q)
|
92% |
523
702.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1796
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1822
31.4 IPS |
|
|
Machine Translation (Q)
|
58% |
498
11.7 IPS |
