Micro-Star International Co., Ltd. MS-7E12
Geekbench ML Score
27979
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 21 2025 04:06 AM |
| Views | 2 |
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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
15326
2.87 KIPS |
|
|
Image Classification (F16)
|
100% |
14810
2.77 KIPS |
|
|
Image Classification (I8)
|
100% |
14174
2.65 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14867
248.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
20872
348.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
20184
337.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
205100
248.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
207074
250.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
187081
226.5 IPS |
|
|
Object Detection (F32)
|
100% |
7894
589.3 IPS |
|
|
Object Detection (F16)
|
100% |
8341
622.7 IPS |
|
|
Object Detection (I8)
|
56% |
7919
591.2 IPS |
|
|
Face Detection (F32)
|
100% |
42254
502.4 IPS |
|
|
Face Detection (F16)
|
100% |
47858
569.0 IPS |
|
|
Face Detection (I8)
|
89% |
39298
467.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
74009
573.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
74882
580.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
62588
485.4 IPS |
|
|
Style Transfer (F32)
|
100% |
314968
414.3 IPS |
|
|
Style Transfer (F16)
|
100% |
318763
419.3 IPS |
|
|
Style Transfer (I8)
|
98% |
292208
384.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
36074
1.29 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
45840
1.64 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
38035
1.36 KIPS |
|
|
Text Classification (F32)
|
100% |
3720
5.35 KIPS |
|
|
Text Classification (F16)
|
100% |
4150
5.96 KIPS |
|
|
Text Classification (I8)
|
98% |
2444
3.51 KIPS |
|
|
Machine Translation (F32)
|
100% |
6023
110.8 IPS |
|
|
Machine Translation (F16)
|
100% |
6565
120.8 IPS |
|
|
Machine Translation (I8)
|
70% |
4013
73.8 IPS |
