Micro-Star International Co., Ltd. MS-7E12
Geekbench ML Score
6846
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 21 2025 04:04 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2598
486.2 IPS |
|
|
Image Classification (F16)
|
100% |
2583
483.4 IPS |
|
|
Image Classification (I8)
|
99% |
6409
1.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2479
41.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2548
42.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
4505
75.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
25935
31.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
25890
31.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
68535
83.0 IPS |
|
|
Object Detection (F32)
|
100% |
2751
205.4 IPS |
|
|
Object Detection (F16)
|
100% |
2366
176.6 IPS |
|
|
Object Detection (I8)
|
62% |
3010
224.7 IPS |
|
|
Face Detection (F32)
|
100% |
4640
55.2 IPS |
|
|
Face Detection (F16)
|
100% |
4637
55.1 IPS |
|
|
Face Detection (I8)
|
89% |
6842
81.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
12948
100.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
12985
100.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
28978
224.7 IPS |
|
|
Style Transfer (F32)
|
100% |
46165
60.7 IPS |
|
|
Style Transfer (F16)
|
100% |
46016
60.5 IPS |
|
|
Style Transfer (I8)
|
98% |
41664
54.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5858
209.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5852
209.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7519
268.5 IPS |
|
|
Text Classification (F32)
|
100% |
2314
3.33 KIPS |
|
|
Text Classification (F16)
|
100% |
2317
3.33 KIPS |
|
|
Text Classification (I8)
|
98% |
1578
2.27 KIPS |
|
|
Machine Translation (F32)
|
100% |
3879
71.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3805
70.0 IPS |
|
|
Machine Translation (I8)
|
67% |
5130
94.4 IPS |
