Micro-Star International Co., Ltd. MS-7E12
Geekbench ML Score
1614
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | September 08 2024 08:56 PM |
| Views | 2 |
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 7900X3D |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 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% |
558
104.4 IPS |
|
|
Image Classification (F16)
|
100% |
559
104.7 IPS |
|
|
Image Classification (I8)
|
100% |
529
99.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
627
10.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
626
10.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
575
9.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
6420
7.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
6432
7.79 IPS |
|
|
Pose Estimation (I8)
|
100% |
5766
6.98 IPS |
|
|
Object Detection (F32)
|
100% |
640
47.8 IPS |
|
|
Object Detection (F16)
|
100% |
638
47.7 IPS |
|
|
Object Detection (I8)
|
62% |
605
45.2 IPS |
|
|
Face Detection (F32)
|
100% |
1822
21.7 IPS |
|
|
Face Detection (F16)
|
100% |
1822
21.7 IPS |
|
|
Face Detection (I8)
|
89% |
1559
18.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3516
27.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
3523
27.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
3182
24.7 IPS |
|
|
Style Transfer (F32)
|
100% |
10789
14.2 IPS |
|
|
Style Transfer (F16)
|
100% |
10877
14.3 IPS |
|
|
Style Transfer (I8)
|
98% |
9690
12.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2737
97.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2747
98.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2088
74.6 IPS |
|
|
Text Classification (F32)
|
100% |
679
975.8 IPS |
|
|
Text Classification (F16)
|
100% |
676
970.9 IPS |
|
|
Text Classification (I8)
|
98% |
488
701.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1222
22.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1223
22.5 IPS |
|
|
Machine Translation (I8)
|
70% |
653
12.0 IPS |
