Micro-Star International Co., Ltd. MS-7E12
Geekbench ML Score
18078
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 04:54 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 | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8672
1.62 KIPS |
|
|
Image Classification (F16)
|
100% |
8570
1.60 KIPS |
|
|
Image Classification (I8)
|
100% |
5624
1.05 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13787
230.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
13424
224.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
10167
169.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
169338
205.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
168347
203.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
123463
149.5 IPS |
|
|
Object Detection (F32)
|
100% |
7154
534.1 IPS |
|
|
Object Detection (F16)
|
100% |
7238
540.4 IPS |
|
|
Object Detection (I8)
|
56% |
5561
415.2 IPS |
|
|
Face Detection (F32)
|
100% |
28762
342.0 IPS |
|
|
Face Detection (F16)
|
100% |
29284
348.2 IPS |
|
|
Face Detection (I8)
|
89% |
19188
228.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
56948
441.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
53071
411.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
32765
254.1 IPS |
|
|
Style Transfer (F32)
|
100% |
261828
344.4 IPS |
|
|
Style Transfer (F16)
|
100% |
251284
330.5 IPS |
|
|
Style Transfer (I8)
|
98% |
178744
235.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
34497
1.23 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
34167
1.22 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
20185
720.9 IPS |
|
|
Text Classification (F32)
|
100% |
2377
3.42 KIPS |
|
|
Text Classification (F16)
|
100% |
2353
3.38 KIPS |
|
|
Text Classification (I8)
|
98% |
1191
1.71 KIPS |
|
|
Machine Translation (F32)
|
100% |
3688
67.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3709
68.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1596
29.4 IPS |
