Micro-Star International Co., Ltd. MS-7E49
Geekbench ML Score
7710
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 29 2024 12:23 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 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 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 | 96.0 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% |
4228
791.1 IPS |
|
|
Image Classification (F16)
|
100% |
4183
782.7 IPS |
|
|
Image Classification (I8)
|
99% |
7593
1.42 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3098
51.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
3285
54.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
4447
74.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
16942
20.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
16845
20.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
54370
65.8 IPS |
|
|
Object Detection (F32)
|
100% |
4413
329.5 IPS |
|
|
Object Detection (F16)
|
100% |
2807
209.6 IPS |
|
|
Object Detection (I8)
|
62% |
2826
211.0 IPS |
|
|
Face Detection (F32)
|
100% |
10082
119.9 IPS |
|
|
Face Detection (F16)
|
100% |
10275
122.2 IPS |
|
|
Face Detection (I8)
|
89% |
9641
114.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
10235
79.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17309
134.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
31634
245.3 IPS |
|
|
Style Transfer (F32)
|
100% |
38858
51.1 IPS |
|
|
Style Transfer (F16)
|
100% |
38781
51.0 IPS |
|
|
Style Transfer (I8)
|
98% |
41562
54.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6992
249.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4098
146.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6566
234.5 IPS |
|
|
Text Classification (F32)
|
100% |
3271
4.70 KIPS |
|
|
Text Classification (F16)
|
100% |
2582
3.71 KIPS |
|
|
Text Classification (I8)
|
98% |
1600
2.30 KIPS |
|
|
Machine Translation (F32)
|
100% |
4976
91.6 IPS |
|
|
Machine Translation (F16)
|
100% |
4974
91.5 IPS |
|
|
Machine Translation (I8)
|
67% |
5637
103.7 IPS |
