Micro-Star International Co., Ltd. MS-7E49
Geekbench ML Score
6840
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 07 2024 06:18 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 | 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 | 96.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2589
484.4 IPS |
|
|
Image Classification (F16)
|
100% |
2598
486.1 IPS |
|
|
Image Classification (I8)
|
99% |
6415
1.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2623
43.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2592
43.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
4304
71.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
26739
32.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
27012
32.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
70365
85.2 IPS |
|
|
Object Detection (F32)
|
100% |
2755
205.7 IPS |
|
|
Object Detection (F16)
|
100% |
2769
206.7 IPS |
|
|
Object Detection (I8)
|
62% |
3001
224.1 IPS |
|
|
Face Detection (F32)
|
100% |
4650
55.3 IPS |
|
|
Face Detection (F16)
|
100% |
4619
54.9 IPS |
|
|
Face Detection (I8)
|
89% |
6839
81.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
12542
97.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
12636
98.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
28184
218.6 IPS |
|
|
Style Transfer (F32)
|
100% |
46408
61.0 IPS |
|
|
Style Transfer (F16)
|
100% |
45584
60.0 IPS |
|
|
Style Transfer (I8)
|
98% |
43113
56.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5547
198.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5071
181.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7551
269.7 IPS |
|
|
Text Classification (F32)
|
100% |
2323
3.34 KIPS |
|
|
Text Classification (F16)
|
100% |
2044
2.94 KIPS |
|
|
Text Classification (I8)
|
98% |
1636
2.35 KIPS |
|
|
Machine Translation (F32)
|
100% |
3935
72.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3925
72.2 IPS |
|
|
Machine Translation (I8)
|
67% |
5033
92.6 IPS |
