Micro-Star International Co., Ltd. MS-7D54
Geekbench AI Score
1521
Single Precision Score
1512
Half Precision Score
1232
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | September 03 2025 01:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| 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% |
1045
194.3 IPS |
|
|
Image Classification (HP)
|
100% |
1035
192.5 IPS |
|
|
Image Classification (Q)
|
99% |
752
140.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1650
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
957
15.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2379
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2379
2.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
3028
3.55 IPS |
|
|
Object Detection (SP)
|
100% |
1100
87.2 IPS |
|
|
Object Detection (HP)
|
100% |
1101
87.3 IPS |
|
|
Object Detection (Q)
|
85% |
856
68.9 IPS |
|
|
Face Detection (SP)
|
100% |
1840
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
1859
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
1577
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1721
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1717
13.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1597
15.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2681
3.45 IPS |
|
|
Style Transfer (HP)
|
100% |
2673
3.44 IPS |
|
|
Style Transfer (Q)
|
98% |
4930
6.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1034
38.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1040
38.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1290
47.8 IPS |
|
|
Text Classification (SP)
|
100% |
887
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
869
1.16 KIPS |
|
|
Text Classification (Q)
|
92% |
534
717.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1888
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1858
32.0 IPS |
|
|
Machine Translation (Q)
|
58% |
506
11.9 IPS |
