Micro-Star International Co., Ltd. MS-7D54
Geekbench AI Score
1516
Single Precision Score
1519
Half Precision Score
1210
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | July 09 2025 01:43 PM |
| Views | 8 |
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% |
1049
195.1 IPS |
|
|
Image Classification (HP)
|
100% |
1042
193.8 IPS |
|
|
Image Classification (Q)
|
99% |
732
136.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
908
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2380
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2352
2.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
3008
3.52 IPS |
|
|
Object Detection (SP)
|
100% |
1094
86.8 IPS |
|
|
Object Detection (HP)
|
100% |
1098
87.1 IPS |
|
|
Object Detection (Q)
|
85% |
841
67.7 IPS |
|
|
Face Detection (SP)
|
100% |
1862
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
1845
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
1562
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1719
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1721
13.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1569
14.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2643
3.40 IPS |
|
|
Style Transfer (HP)
|
100% |
2659
3.42 IPS |
|
|
Style Transfer (Q)
|
98% |
4948
6.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1040
38.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1043
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1278
47.4 IPS |
|
|
Text Classification (SP)
|
100% |
880
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
910
1.22 KIPS |
|
|
Text Classification (Q)
|
92% |
522
700.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1909
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1903
32.8 IPS |
|
|
Machine Translation (Q)
|
58% |
495
11.6 IPS |
