Micro-Star International Co., Ltd. MS-7E12
Geekbench ML Score
1701
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | September 09 2024 07:08 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
583
109.1 IPS |
|
|
Image Classification (F16)
|
100% |
572
107.1 IPS |
|
|
Image Classification (I8)
|
100% |
539
100.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1105
18.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1102
18.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
960
16.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6371
7.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
6394
7.74 IPS |
|
|
Pose Estimation (I8)
|
100% |
5713
6.92 IPS |
|
|
Object Detection (F32)
|
100% |
640
47.8 IPS |
|
|
Object Detection (F16)
|
100% |
627
46.8 IPS |
|
|
Object Detection (I8)
|
62% |
594
44.4 IPS |
|
|
Face Detection (F32)
|
100% |
1788
21.3 IPS |
|
|
Face Detection (F16)
|
100% |
1795
21.3 IPS |
|
|
Face Detection (I8)
|
89% |
1538
18.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3495
27.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
3508
27.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
3156
24.5 IPS |
|
|
Style Transfer (F32)
|
100% |
10680
14.0 IPS |
|
|
Style Transfer (F16)
|
100% |
10637
14.0 IPS |
|
|
Style Transfer (I8)
|
98% |
9648
12.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2776
99.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2764
98.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2084
74.4 IPS |
|
|
Text Classification (F32)
|
100% |
686
986.4 IPS |
|
|
Text Classification (F16)
|
100% |
689
989.9 IPS |
|
|
Text Classification (I8)
|
98% |
477
685.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1217
22.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1214
22.3 IPS |
|
|
Machine Translation (I8)
|
70% |
642
11.8 IPS |
