Micro-Star International Co., Ltd. MS-7E12
Geekbench ML Score
1656
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 21 2025 10:42 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
584
109.3 IPS |
|
|
Image Classification (F16)
|
100% |
589
110.1 IPS |
|
|
Image Classification (I8)
|
100% |
547
102.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1055
17.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1051
17.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
924
15.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6061
7.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
6039
7.31 IPS |
|
|
Pose Estimation (I8)
|
100% |
5447
6.60 IPS |
|
|
Object Detection (F32)
|
100% |
626
46.7 IPS |
|
|
Object Detection (F16)
|
100% |
642
47.9 IPS |
|
|
Object Detection (I8)
|
62% |
604
45.1 IPS |
|
|
Face Detection (F32)
|
100% |
1690
20.1 IPS |
|
|
Face Detection (F16)
|
100% |
1685
20.0 IPS |
|
|
Face Detection (I8)
|
89% |
1467
17.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3343
25.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
3343
25.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
3052
23.7 IPS |
|
|
Style Transfer (F32)
|
100% |
10625
14.0 IPS |
|
|
Style Transfer (F16)
|
100% |
10615
14.0 IPS |
|
|
Style Transfer (I8)
|
98% |
9426
12.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2714
96.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2707
96.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2074
74.1 IPS |
|
|
Text Classification (F32)
|
100% |
689
990.1 IPS |
|
|
Text Classification (F16)
|
100% |
687
987.3 IPS |
|
|
Text Classification (I8)
|
98% |
477
685.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1122
20.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1116
20.5 IPS |
|
|
Machine Translation (I8)
|
70% |
624
11.5 IPS |
