Micro-Star International Co., Ltd. MS-7E12
Geekbench ML Score
5881
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | September 09 2024 07:06 PM |
| Views | 4 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2260
422.8 IPS |
|
|
Image Classification (F16)
|
100% |
2298
430.1 IPS |
|
|
Image Classification (I8)
|
99% |
6004
1.12 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2438
40.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2389
39.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
3307
55.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
21963
26.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
21864
26.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
59531
72.1 IPS |
|
|
Object Detection (F32)
|
100% |
2149
160.4 IPS |
|
|
Object Detection (F16)
|
100% |
2537
189.4 IPS |
|
|
Object Detection (I8)
|
62% |
2612
195.0 IPS |
|
|
Face Detection (F32)
|
100% |
4196
49.9 IPS |
|
|
Face Detection (F16)
|
100% |
4206
50.0 IPS |
|
|
Face Detection (I8)
|
89% |
6291
74.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
12064
93.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
12093
93.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
26983
209.3 IPS |
|
|
Style Transfer (F32)
|
100% |
35089
46.2 IPS |
|
|
Style Transfer (F16)
|
100% |
31479
41.4 IPS |
|
|
Style Transfer (I8)
|
98% |
41564
54.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4447
158.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5275
188.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6704
239.4 IPS |
|
|
Text Classification (F32)
|
100% |
1869
2.69 KIPS |
|
|
Text Classification (F16)
|
100% |
2153
3.09 KIPS |
|
|
Text Classification (I8)
|
98% |
539
775.1 IPS |
|
|
Machine Translation (F32)
|
100% |
4031
74.2 IPS |
|
|
Machine Translation (F16)
|
100% |
4073
75.0 IPS |
|
|
Machine Translation (I8)
|
67% |
4432
81.6 IPS |
