Micro-Star International Co., Ltd. MS-7E12
Geekbench ML Score
3578
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | September 08 2024 08:53 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1413
264.5 IPS |
|
|
Image Classification (F16)
|
100% |
1363
255.0 IPS |
|
|
Image Classification (I8)
|
99% |
3919
733.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1629
27.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1727
28.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2767
46.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
7097
8.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
7650
9.26 IPS |
|
|
Pose Estimation (I8)
|
100% |
31196
37.8 IPS |
|
|
Object Detection (F32)
|
100% |
1599
119.4 IPS |
|
|
Object Detection (F16)
|
100% |
1600
119.4 IPS |
|
|
Object Detection (I8)
|
62% |
1625
121.3 IPS |
|
|
Face Detection (F32)
|
100% |
3224
38.3 IPS |
|
|
Face Detection (F16)
|
100% |
3293
39.1 IPS |
|
|
Face Detection (I8)
|
89% |
5129
61.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
7005
54.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
6977
54.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
18267
141.7 IPS |
|
|
Style Transfer (F32)
|
100% |
14624
19.2 IPS |
|
|
Style Transfer (F16)
|
100% |
16530
21.7 IPS |
|
|
Style Transfer (I8)
|
98% |
32868
43.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2820
100.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3312
118.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4016
143.4 IPS |
|
|
Text Classification (F32)
|
100% |
1145
1.65 KIPS |
|
|
Text Classification (F16)
|
100% |
1201
1.73 KIPS |
|
|
Text Classification (I8)
|
98% |
360
516.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2199
40.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2210
40.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2831
52.1 IPS |
