Micro-Star International Co., Ltd. MS-7D70
Geekbench ML Score
4044
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 09:07 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D70 |
| Motherboard | Micro-Star International Co., Ltd. MPG X670E CARBON WIFI (MS-7D70) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 96.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1513
283.1 IPS |
|
|
Image Classification (F16)
|
100% |
1463
273.8 IPS |
|
|
Image Classification (I8)
|
99% |
3679
688.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2010
33.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2084
34.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2730
45.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
11080
13.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
10515
12.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
40200
48.7 IPS |
|
|
Object Detection (F32)
|
100% |
1715
128.1 IPS |
|
|
Object Detection (F16)
|
100% |
1672
124.8 IPS |
|
|
Object Detection (I8)
|
62% |
1693
126.4 IPS |
|
|
Face Detection (F32)
|
100% |
3856
45.8 IPS |
|
|
Face Detection (F16)
|
100% |
3687
43.8 IPS |
|
|
Face Detection (I8)
|
89% |
5163
61.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
8188
63.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
8118
63.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
19218
149.0 IPS |
|
|
Style Transfer (F32)
|
100% |
20380
26.8 IPS |
|
|
Style Transfer (F16)
|
100% |
21856
28.8 IPS |
|
|
Style Transfer (I8)
|
98% |
35891
47.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3149
112.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3145
112.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3960
141.4 IPS |
|
|
Text Classification (F32)
|
100% |
1333
1.92 KIPS |
|
|
Text Classification (F16)
|
100% |
1437
2.06 KIPS |
|
|
Text Classification (I8)
|
98% |
355
510.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2548
46.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2310
42.5 IPS |
|
|
Machine Translation (I8)
|
67% |
3218
59.2 IPS |
