Micro-Star International Co., Ltd. MS-7E49
Geekbench ML Score
7355
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 23 2024 10:30 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E49 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E CARBON WIFI (MS-7E49) |
| Power Plan | High 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4118
770.7 IPS |
|
|
Image Classification (F16)
|
100% |
4046
757.1 IPS |
|
|
Image Classification (I8)
|
99% |
8756
1.64 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2736
45.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2839
47.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
4281
71.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
14419
17.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
14449
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
46369
56.2 IPS |
|
|
Object Detection (F32)
|
100% |
3856
287.8 IPS |
|
|
Object Detection (F16)
|
100% |
3907
291.7 IPS |
|
|
Object Detection (I8)
|
62% |
4018
300.0 IPS |
|
|
Face Detection (F32)
|
100% |
5602
66.6 IPS |
|
|
Face Detection (F16)
|
100% |
5645
67.1 IPS |
|
|
Face Detection (I8)
|
89% |
7403
88.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
14927
115.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
14833
115.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
28756
223.0 IPS |
|
|
Style Transfer (F32)
|
100% |
32808
43.2 IPS |
|
|
Style Transfer (F16)
|
100% |
32875
43.2 IPS |
|
|
Style Transfer (I8)
|
98% |
37122
48.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6423
229.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5258
187.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7980
285.0 IPS |
|
|
Text Classification (F32)
|
100% |
2761
3.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3397
4.88 KIPS |
|
|
Text Classification (I8)
|
98% |
2042
2.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
4415
81.2 IPS |
|
|
Machine Translation (F16)
|
100% |
4427
81.5 IPS |
|
|
Machine Translation (I8)
|
67% |
5827
107.2 IPS |
